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ORCIDQingfu Zhang 0001
Person information
- affiliation: City University of Hong Kong, Department of Computer Science, Hong Kong
- affiliation (former): University of Essex, Department of Computer, UK
- affiliation (PhD 1994): Xidian University, Xi'an, China
Other persons with the same name
- Qingfu Zhang
- Qingfu Zhang 0002 — China University of Petroleum (East China), Qingdao, China
- Qingfu Zhang 0003 — Third Research Institute of the Ministry of Public Security, Shanghai, China
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2020 – today
- 2024
[j178]Lin Gui
, Xinyu Li, Qingfu Zhang, Liang Gao:
A uniform sampling method for permutation space. Ann. Oper. Res. 338(2): 925-945 (2024)- [j177]Zhenkun Wang, Qingyan Li, Genghui Li, Qingfu Zhang:
Multi-objective decomposition evolutionary algorithm with objective modification-based dominance and external archive. Appl. Soft Comput. 149(Part A): 111006 (2024) - [j176]Bo Li, Jianmei Wang, Chao Song, Zhipeng Yang, Kaifang Wan, Qingfu Zhang:
Multi-UAV roundup strategy method based on deep reinforcement learning CEL-MADDPG algorithm. Expert Syst. Appl. 245: 123018 (2024) - [j175]Yuhao Kang, Jialong Shi, Jianyong Sun, Qingfu Zhang, Ye Fan:
New techniques to improve neighborhood exploration in pareto local search. Expert Syst. Appl. 254: 124296 (2024) - [j174]Zidong Wang, Xiaoguang Gao, Xiaohan Liu, Xinxin Ru, Qingfu Zhang:
Incorporating structural constraints into continuous optimization for causal discovery. Neurocomputing 595: 127902 (2024) - [j173]Yuxiang Shui, Hui Li, Jianyong Sun, Qingfu Zhang:
Approximating robust Pareto fronts by the MEOF-based multiobjective evolutionary algorithm with two-level surrogate models. Inf. Sci. 657: 119946 (2024) - [j172]Yalin Wang, Xujie Tan, Chenliang Liu, Pei-Qiu Huang, Qingfu Zhang, Chunhua Yang:
Exploring interpretable evolutionary optimization via significance of each constraint and population diversity. Swarm Evol. Comput. 91: 101679 (2024) - [j171]Tenghui Hu, Xianpeng Wang, Lixin Tang, Qingfu Zhang:
A clustering-assisted adaptive evolutionary algorithm based on decomposition for multimodal multiobjective optimization. Swarm Evol. Comput. 91: 101691 (2024) - [j170]Zhenkun Wang, Shunyu Yao, Genghui Li, Qingfu Zhang:
Multiobjective Combinatorial Optimization Using a Single Deep Reinforcement Learning Model. IEEE Trans. Cybern. 54(3): 1984-1996 (2024) - [j169]Jialong Shi, Jianyong Sun, Qingfu Zhang, Haotian Zhang, Ye Fan:
Improving Pareto Local Search Using Cooperative Parallelism Strategies for Multiobjective Combinatorial Optimization. IEEE Trans. Cybern. 54(4): 2369-2382 (2024) - [j168]Hu Peng, Fanrong Kong, Qingfu Zhang:
Micro Multiobjective Evolutionary Algorithm With Piecewise Strategy for Embedded-Processor-Based Industrial Optimization. IEEE Trans. Cybern. 54(8): 4763-4774 (2024) - [j167]Liang Zhao, Qingfu Zhang:
Hypervolume-Guided Decomposition for Parallel Expensive Multiobjective Optimization. IEEE Trans. Evol. Comput. 28(2): 432-444 (2024) - [j166]Yayu Zhang, Yuhua Qian, Guoshuai Ma, Xinyan Liang, Guoqing Liu, Qingfu Zhang, Ke Tang:
ESSR: Evolving Sparse Sharing Representation for Multitask Learning. IEEE Trans. Evol. Comput. 28(3): 748-762 (2024) - [j165]Jingda Deng, Qingfu Zhang, Jianyong Sun, Hui Li:
A Fast Exact Algorithm for Computing the Hypervolume Contributions in 4-D Space. IEEE Trans. Evol. Comput. 28(4): 876-890 (2024) - [j164]Xianpeng Wang, Yao Wang, Lixin Tang, Qingfu Zhang:
Multiobjective Ensemble Learning With Multiscale Data for Product Quality Prediction in Iron and Steel Industry. IEEE Trans. Evol. Comput. 28(4): 1099-1113 (2024) - [j163]Genghui Li, Zhenkun Wang, Jianyong Sun, Qingfu Zhang:
Objective Extraction for Simplifying Many-Objective Solution Sets. IEEE Trans. Emerg. Top. Comput. Intell. 8(1): 337-349 (2024) - [j162]Zhiyuan Yang, Qingfu Zhang:
Discovering Interpretable Latent Space Directions for 3D-Aware Image Generation. IEEE Trans. Emerg. Top. Comput. Intell. 8(3): 2570-2580 (2024) - [j161]Pei-Qiu Huang, Shaoda Zeng, Xilei Wu, Hai-Lin Liu, Qingfu Zhang:
A Multiobjective Evolutionary Algorithm for Network Planning in In-Building Distributed Antenna Systems. IEEE Trans. Netw. Sci. Eng. 11(3): 3002-3014 (2024) - [c163]Ji Cheng, Bo Xue, Jiaxiang Yi, Qingfu Zhang:
Hierarchize Pareto Dominance in Multi-Objective Stochastic Linear Bandits. AAAI 2024: 11489-11497 - [c162]Bo Xue, Ji Cheng, Fei Liu, Yimu Wang, Qingfu Zhang:
Multiobjective Lipschitz Bandits under Lexicographic Ordering. AAAI 2024: 16238-16246 - [c161]Yayu Zhang, Yuhua Qian, Guoshuai Ma, Keyin Zheng, Guoqing Liu, Qingfu Zhang:
Learning Multi-Task Sparse Representation Based on Fisher Information. AAAI 2024: 16899-16907 - [c160]Cheng Gong, Yang Nan, Tianye Shu, Lie Meng Pang, Hisao Ishibuchi, Qingfu Zhang:
Interactive Final Solution Selection in Multi-Objective Optimization. CEC 2024: 1-9 - [c159]Chengyu Lu, Yilu Liu, Qingfu Zhang:
MOEA/D-CMA Made Better with (l+l)-CMA-ES. CEC 2024: 1-8 - [c158]Wei Wang, Jialong Shi, Jianyong Sun, Arnaud Liefooghe, Qingfu Zhang, Ye Fan:
On the Effects of Smoothing Rugged Landscape by Different Toy Problems: A Case Study on UBQP. CEC 2024: 1-8 - [c157]Xilei Wu, Pei-Qiu Huang, Linqi Song, Hai-Lin Liu, Qingfu Zhang:
Multiobjective Bayesian Optimization for Antenna Placement in In-Building Distributed Antenna System. CEC 2024: 1-8 - [c156]Yiming Yao, Fei Liu, Qingfu Zhang:
High-Throughput Multi-Objective Bayesian Optimization using Gradients. CEC 2024: 1-8 - [c155]Longcan Chen, Lie Meng Pang, Qingfu Zhang, Hisao Ishibuchi:
Enhancing the Convergence Ability of Evolutionary Multi-objective Optimization Algorithms with Momentum. GECCO 2024 - [c154]Zhongtian Luo, Jianpeng Xiong, Hu Peng, Gaosheng Zhan, Qingfu Zhang, Hui Wang, Xinyu Zhou, Wei Li, Ying Huang:
A Micro Dynamic Multi-objective Evolutionary Algorithm for Small-scale Smart Greenhouse with Low-power Microprocessor. GECCO Companion 2024: 687-690 - [c153]Ping Guo, Fei Liu, Xi Lin, Qingchuan Zhao, Qingfu Zhang:
L-AutoDA: Large Language Models for Automatically Evolving Decision-based Adversarial Attacks. GECCO Companion 2024: 1846-1854 - [c152]Cheng Gong, Yang Nan, Lie Meng Pang, Hisao Ishibuchi, Qingfu Zhang:
Heuristic Initialization and Knowledge-based Mutation for Large-Scale Multi-Objective 0-1 Knapsack Problems. GECCO 2024 - [c151]Cheng Gong, Yang Nan, Lie Meng Pang, Hisao Ishibuchi, Qingfu Zhang:
Performance of NSGA-III on Multi-objective Combinatorial Optimization Problems Heavily Depends on Its Implementations. GECCO 2024 - [c150]Xi Lin, Xiaoyuan Zhang, Zhiyuan Yang, Fei Liu, Zhenkun Wang, Qingfu Zhang:
Smooth Tchebycheff Scalarization for Multi-Objective Optimization. ICML 2024 - [c149]Fei Liu, Xialiang Tong, Mingxuan Yuan, Xi Lin, Fu Luo, Zhenkun Wang, Zhichao Lu, Qingfu Zhang:
Evolution of Heuristics: Towards Efficient Automatic Algorithm Design Using Large Language Model. ICML 2024 - [c148]Dake Bu, Wei Huang, Taiji Suzuki, Ji Cheng, Qingfu Zhang, Zhiqiang Xu, Hau-San Wong:
Provably Neural Active Learning Succeeds via Prioritizing Perplexing Samples. ICML 2024 - [c147]Zhe Zhao, Pengkun Wang, Haibin Wen, Wei Xu, Song Lai, Qingfu Zhang, Yang Wang:
Two Fists, One Heart: Multi-Objective Optimization Based Strategy Fusion for Long-tailed Learning. ICML 2024 - [c146]Fei Liu, Xi Lin, Weiduo Liao, Zhenkun Wang, Qingfu Zhang, Xialiang Tong, Mingxuan Yuan:
Prompt Learning for Generalized Vehicle Routing. IJCAI 2024: 6976-6984 - [c145]Weiduo Liao, Ying Wei, Qirui Sun, Qingfu Zhang, Hisao Ishibuchi:
A Multi-objective Perspective Towards Improving Meta-Generalization. IJCNN 2024: 1-10 - [c144]Fei Liu, Xi Lin, Zhenkun Wang, Qingfu Zhang, Xialiang Tong, Mingxuan Yuan:
Multi-Task Learning for Routing Problem with Cross-Problem Zero-Shot Generalization. KDD 2024: 1898-1908 - [c143]Song Lai, Mingyang Zhao, Zhe Zhao, Shi Chang, Xiaohua Yuan, Hongbin Liu, Qingfu Zhang, Gaofeng Meng:
EchoMEN: Combating Data Imbalance in Ejection Fraction Regression via Multi-expert Network. MICCAI (4) 2024: 624-633 - [c142]Cheng Gong, Ping Guo, Tianye Shu, Qingfu Zhang, Hisao Ishibuchi:
LTR-HSS: A Learning-to-Rank Based Framework for Hypervolume Subset Selection. PPSN (4) 2024: 36-51 - [c141]Cheng Gong, Lie Meng Pang, Qingfu Zhang, Hisao Ishibuchi:
Three Objectives Degrade the Convergence Ability of Dominance-Based Multi-objective Evolutionary Algorithms. PPSN (4) 2024: 52-67 - [c140]Yilu Liu, Chengyu Lu, Xi Lin, Qingfu Zhang:
Many-Objective Cover Problem: Discovering Few Solutions to Cover Many Objectives. PPSN (4) 2024: 68-82 - [c139]Rui Zhang, Fei Liu, Xi Lin, Zhenkun Wang, Zhichao Lu, Qingfu Zhang:
Understanding the Importance of Evolutionary Search in Automated Heuristic Design with Large Language Models. PPSN (2) 2024: 185-202 - [c138]Yiming Yao, Fei Liu, Ji Cheng, Qingfu Zhang:
Evolve Cost-Aware Acquisition Functions Using Large Language Models. PPSN (2) 2024: 374-390 - [i57]Fei Liu, Xialiang Tong, Mingxuan Yuan, Xi Lin, Fu Luo, Zhenkun Wang, Zhichao Lu, Qingfu Zhang:
An Example of Evolutionary Computation + Large Language Model Beating Human: Design of Efficient Guided Local Search. CoRR abs/2401.02051 (2024) - [i56]Ping Guo, Zhiyuan Yang, Xi Lin, Qingchuan Zhao, Qingfu Zhang:
PuriDefense: Randomized Local Implicit Adversarial Purification for Defending Black-box Query-based Attacks. CoRR abs/2401.10586 (2024) - [i55]Ping Guo, Fei Liu, Xi Lin, Qingchuan Zhao, Qingfu Zhang:
L-AutoDA: Leveraging Large Language Models for Automated Decision-based Adversarial Attacks. CoRR abs/2401.15335 (2024) - [i54]Yifan Zhong, Chengdong Ma, Xiaoyuan Zhang, Ziran Yang, Qingfu Zhang, Siyuan Qi, Yaodong Yang:
Panacea: Pareto Alignment via Preference Adaptation for LLMs. CoRR abs/2402.02030 (2024) - [i53]Xiaoyuan Zhang, Xi Lin, Yichi Zhang, Yifan Chen, Qingfu Zhang:
UMOEA/D: A Multiobjective Evolutionary Algorithm for Uniform Pareto Objectives based on Decomposition. CoRR abs/2402.09486 (2024) - [i52]Xiaoyuan Zhang, Xi Lin, Qingfu Zhang:
PMGDA: A Preference-based Multiple Gradient Descent Algorithm. CoRR abs/2402.09492 (2024) - [i51]Fei Liu, Xi Lin, Qingfu Zhang, Xialiang Tong, Mingxuan Yuan:
Multi-Task Learning for Routing Problem with Cross-Problem Zero-Shot Generalization. CoRR abs/2402.16891 (2024) - [i50]Xi Lin, Xiaoyuan Zhang, Zhiyuan Yang, Fei Liu, Zhenkun Wang, Qingfu Zhang:
Smooth Tchebycheff Scalarization for Multi-Objective Optimization. CoRR abs/2402.19078 (2024) - [i49]Ping Guo, Cheng Gong, Xi Lin, Zhiyuan Yang, Qingfu Zhang:
Exploring the Adversarial Frontier: Quantifying Robustness via Adversarial Hypervolume. CoRR abs/2403.05100 (2024) - [i48]Fu Luo, Xi Lin, Zhenkun Wang, Xialiang Tong, Mingxuan Yuan, Qingfu Zhang:
Self-Improved Learning for Scalable Neural Combinatorial Optimization. CoRR abs/2403.19561 (2024) - [i47]Ping Guo, Qingfu Zhang, Xi Lin:
Approximation of a Pareto Set Segment Using a Linear Model with Sharing Variables. CoRR abs/2404.00251 (2024) - [i46]Zhe Zhao, Pengkun Wang, Xu Wang, Haibin Wen, Xiaolong Xie, Zhengyang Zhou, Qingfu Zhang, Yang Wang:
Delayed Bottlenecking: Alleviating Forgetting in Pre-trained Graph Neural Networks. CoRR abs/2404.14941 (2024) - [i45]Yiming Yao, Fei Liu, Ji Cheng, Qingfu Zhang:
Evolve Cost-aware Acquisition Functions Using Large Language Models. CoRR abs/2404.16906 (2024) - [i44]Changliang Zhou, Xi Lin, Zhenkun Wang, Xialiang Tong, Mingxuan Yuan, Qingfu Zhang:
Instance-Conditioned Adaptation for Large-scale Generalization of Neural Combinatorial Optimization. CoRR abs/2405.01906 (2024) - [i43]Fei Liu, Xi Lin, Weiduo Liao, Zhenkun Wang, Qingfu Zhang, Xialiang Tong, Mingxuan Yuan:
Prompt Learning for Generalized Vehicle Routing. CoRR abs/2405.12262 (2024) - [i42]Xi Lin, Yilu Liu, Xiaoyuan Zhang, Fei Liu, Zhenkun Wang, Qingfu Zhang:
Few for Many: Tchebycheff Set Scalarization for Many-Objective Optimization. CoRR abs/2405.19650 (2024) - [i41]Dake Bu, Wei Huang, Taiji Suzuki, Ji Cheng, Qingfu Zhang, Zhiqiang Xu, Hau-San Wong:
Provably Neural Active Learning Succeeds via Prioritizing Perplexing Samples. CoRR abs/2406.03944 (2024) - [i40]Rui Zhang, Fei Liu, Xi Lin, Zhenkun Wang, Zhichao Lu, Qingfu Zhang:
Understanding the Importance of Evolutionary Search in Automated Heuristic Design with Large Language Models. CoRR abs/2407.10873 (2024) - [i39]Xiaoyuan Zhang, Liang Zhao, Yingying Yu, Xi Lin, Zhenkun Wang, Han Zhao, Qingfu Zhang:
LibMOON: A Gradient-based MultiObjective OptimizatioN Library in PyTorch. CoRR abs/2409.02969 (2024) - [i38]Shunyu Yao, Fei Liu, Xi Lin, Zhichao Lu, Zhenkun Wang, Qingfu Zhang:
Multi-objective Evolution of Heuristic Using Large Language Model. CoRR abs/2409.16867 (2024) - [i37]Fei Liu, Yiming Yao, Ping Guo, Zhiyuan Yang, Zhe Zhao, Xi Lin, Xialiang Tong, Mingxuan Yuan, Zhichao Lu, Zhenkun Wang, Qingfu Zhang:
A Systematic Survey on Large Language Models for Algorithm Design. CoRR abs/2410.14716 (2024) - 2023
- [j160]Bilel Derbel, Geoffrey Pruvost, Arnaud Liefooghe, Sébastien Vérel, Qingfu Zhang:
Walsh-based surrogate-assisted multi-objective combinatorial optimization: A fine-grained analysis for pseudo-boolean functions. Appl. Soft Comput. 136: 110061 (2023) - [j159]Haotian Zhang, Jianyong Sun, Thomas Bäck, Qingfu Zhang, Zongben Xu:
Controlling Sequential Hybrid Evolutionary Algorithm by Q-Learning [Research Frontier] [Research Frontier]. IEEE Comput. Intell. Mag. 18(1): 84-103 (2023) - [j158]Maoguo Gong, Tongfei Liu, Mingyang Zhang, Qingfu Zhang, Di Lu, Hanhong Zheng, Fenlong Jiang:
Context-content collaborative network for building extraction from high-resolution imagery. Knowl. Based Syst. 263: 110283 (2023) - [j157]Xiaohan Liu, Xiaoguang Gao, Zidong Wang, Xinxin Ru, Qingfu Zhang:
A metaheuristic causal discovery method in directed acyclic graphs space. Knowl. Based Syst. 276: 110749 (2023) - [j156]Fei Liu, Qingfu Zhang, Zhonghua Han:
MOEA/D with gradient-enhanced kriging for expensive multiobjective optimization. Nat. Comput. 22(2): 329-339 (2023) - [j155]Jieting Wang, Yuhua Qian, Feijiang Li, Jiye Liang, Qingfu Zhang:
Generalization Performance of Pure Accuracy and its Application in Selective Ensemble Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45(2): 1798-1816 (2023) - [j154]Hu Peng, Changrong Mei, Sixiang Zhang, Zhongtian Luo, Qingfu Zhang, Zhijian Wu:
Multi-strategy dynamic multi-objective evolutionary algorithm with hybrid environmental change responses. Swarm Evol. Comput. 82: 101356 (2023) - [j153]Zhenkun Wang, Qingfu Zhang, Yew-Soon Ong, Shunyu Yao, Haitao Liu, Jianping Luo:
Choose Appropriate Subproblems for Collaborative Modeling in Expensive Multiobjective Optimization. IEEE Trans. Cybern. 53(1): 483-496 (2023) - [j152]Pei-Qiu Huang, Yong Wang, Kezhi Wang, Qingfu Zhang:
Combining Lyapunov Optimization With Evolutionary Transfer Optimization for Long-Term Energy Minimization in IRS-Aided Communications. IEEE Trans. Cybern. 53(4): 2647-2657 (2023) - [j151]Wei Zheng, Jianyong Sun, Qingfu Zhang, Zongben Xu:
Continuous Encoding for Overlapping Community Detection in Attributed Network. IEEE Trans. Cybern. 53(9): 5469-5482 (2023) - [j150]Xianpeng Wang, Zhiming Dong, Lixin Tang, Qingfu Zhang:
Multiobjective Multitask Optimization-Neighborhood as a Bridge for Knowledge Transfer. IEEE Trans. Evol. Comput. 27(1): 155-169 (2023) - [j149]Genghui Li, Zhenkun Wang, Qingfu Zhang, Jianyong Sun:
Offline and Online Objective Reduction via Gaussian Mixture Model Clustering. IEEE Trans. Evol. Comput. 27(2): 341-354 (2023) - [j148]Shaolong Shi, Yifan Chen, Jurong Ding, Qiang Liu, Qingfu Zhang:
Dynamic In Vivo Computation for Learning-Based Nanobiosensing in Time-Varying Biological Landscapes. IEEE Trans. Evol. Comput. 27(4): 1100-1114 (2023) - [j147]Xinye Cai, Kang Wang, Yi Mei, Zhenhua Li, Jun Zhao, Qingfu Zhang:
Decomposition-Based Lin-Kernighan Heuristic With Neighborhood Structure Transfer for Multi/Many-Objective Traveling Salesman Problem. IEEE Trans. Evol. Comput. 27(6): 1604-1617 (2023) - [j146]Pei-Qiu Huang, Qingfu Zhang, Yong Wang:
Bilevel Optimization via Collaborations Among Lower-Level Optimization Tasks. IEEE Trans. Evol. Comput. 27(6): 1837-1850 (2023) - [j145]Zhenhua Li, Huilin Cheng, Xinye Cai, Jun Zhao, Qingfu Zhang:
SA-ES: Subspace Activation Evolution Strategy for Black-Box Adversarial Attacks. IEEE Trans. Emerg. Top. Comput. Intell. 7(3): 780-790 (2023) - [j144]Xin Liu, Jianyong Sun, Qingfu Zhang, Zhenkun Wang, Zongben Xu:
Learning to Learn Evolutionary Algorithm: A Learnable Differential Evolution. IEEE Trans. Emerg. Top. Comput. Intell. 7(6): 1605-1620 (2023) - [j143]Honghong Cheng, Yuhua Qian, Yingjie Guo, Keyin Zheng, Qingfu Zhang:
Neighborhood Information-Based Method for Multivariate Association Mining. IEEE Trans. Knowl. Data Eng. 35(6): 6126-6135 (2023) - [c137]Shaolong Shi, Yifan Chen, Zhaoyang Jiang, Qiang Liu, Jurong Ding, Qingfu Zhang:
A Novel Computational Nanobiosensing Approach to Improve the Exploitation of In Vivo Computation. CEC 2023: 1-7 - [c136]Yuxiang Shui, Hui Li, Jianyong Sun, Qingfu Zhang:
The Combination of MOEA/D and WOF for Solving High-Dimensional Expensive Multiobjective Optimization Problems. CEC 2023: 1-8 - [c135]Yiwen Wang, Fei Liu, Qingfu Zhang:
A Decomposition-Based Hybrid Algorithm for Multi-objective Vehicle Routing Problem with Time Windows. CEC 2023: 1-8 - [c134]Liang Zhao, Qingfu Zhang:
Exact Formulas for the Computation of Expected Tchebycheff Improvement. CEC 2023: 1-8 - [c133]Fei Liu, Qingfu Zhang:
A Two-Stage Algorithm for Integer Multiobjective Simulation Optimization. EMO 2023: 17-28 - [c132]Ping Guo, Qingfu Zhang, Xi Lin:
Approximation of a Pareto Set Segment Using a Linear Model with Sharing Variables. EMO 2023: 247-259 - [c131]Cheng Gong, Yang Nan, Lie Meng Pang, Qingfu Zhang, Hisao Ishibuchi:
Effects of Including Optimal Solutions into Initial Population on Evolutionary Multiobjective Optimization. GECCO 2023: 661-669 - [c130]Zhiyuan Yang, Qingfu Zhang:
Towards Modeling 3D Dense Shape Correspondence from Category-Specific Multi-View Images. ICIP 2023: 445-449 - [c129]Xi Lin, Zhiyuan Yang, Xiaoyuan Zhang, Qingfu Zhang:
Continuation Path Learning for Homotopy Optimization. ICML 2023: 21288-21311 - [c128]Weiduo Liao, Ying Wei, Mingchen Jiang, Qingfu Zhang, Hisao Ishibuchi:
Does Continual Learning Meet Compositionality? New Benchmarks and An Evaluation Framework. NeurIPS 2023 - [c127]Fu Luo, Xi Lin, Fei Liu, Qingfu Zhang, Zhenkun Wang:
Neural Combinatorial Optimization with Heavy Decoder: Toward Large Scale Generalization. NeurIPS 2023 - [c126]Xiaoyuan Zhang, Xi Lin, Bo Xue, Yifan Chen, Qingfu Zhang:
Hypervolume Maximization: A Geometric View of Pareto Set Learning. NeurIPS 2023 - [c125]Cheng Gong, Lie Meng Pang, Yang Nan, Hisao Ishibuchi, Qingfu Zhang:
Effects of Initialization Methods on the Performance of Multi-Objective Evolutionary Algorithms. SMC 2023: 1168-1175 - [c124]Cheng Gong, Yang Nan, Lie Meng Pang, Hisao Ishibuchi, Qingfu Zhang:
Initial Populations with a Few Heuristic Solutions Significantly Improve Evolutionary Multi-Objective Combinatorial Optimization. SSCI 2023: 1398-1405 - [c123]Cheng Gong, Yang Nan, Lie Meng Pang, Hisao Ishibuchi, Qingfu Zhang:
Examination of the Multimodal Nature of Multi-Objective Neural Architecture Search. SSCI 2023: 1821-1828 - [i36]Fei Liu, Chengyu Lu, Lin Gui, Qingfu Zhang, Xialiang Tong, Mingxuan Yuan:
Heuristics for Vehicle Routing Problem: A Survey and Recent Advances. CoRR abs/2303.04147 (2023) - [i35]Xi Lin, Zhiyuan Yang, Xiaoyuan Zhang, Qingfu Zhang:
Continuation Path Learning for Homotopy Optimization. CoRR abs/2307.12551 (2023) - [i34]Fu Luo, Xi Lin, Fei Liu, Qingfu Zhang, Zhenkun Wang:
Neural Combinatorial Optimization with Heavy Decoder: Toward Large Scale Generalization. CoRR abs/2310.07985 (2023) - [i33]Fei Liu, Xi Lin, Zhenkun Wang, Shunyu Yao, Xialiang Tong, Mingxuan Yuan, Qingfu Zhang:
Large Language Model for Multi-objective Evolutionary Optimization. CoRR abs/2310.12541 (2023) - [i32]Xi Lin, Xiaoyuan Zhang, Zhiyuan Yang, Qingfu Zhang:
Evolutionary Pareto Set Learning with Structure Constraints. CoRR abs/2310.20426 (2023) - [i31]Fei Liu, Xialiang Tong, Mingxuan Yuan, Qingfu Zhang:
Algorithm Evolution Using Large Language Model. CoRR abs/2311.15249 (2023) - 2022
- [j142]Hui Liu, Yuheng Jia, Junhui Hou, Qingfu Zhang:
Global-Local Balanced Low-Rank Approximation of Hyperspectral Images for Classification. IEEE Trans. Circuits Syst. Video Technol. 32(4): 2013-2024 (2022) - [j141]Zhihao Peng, Yuheng Jia, Hui Liu, Junhui Hou, Qingfu Zhang:
Maximum Entropy Subspace Clustering Network. IEEE Trans. Circuits Syst. Video Technol. 32(4): 2199-2210 (2022) - [j140]Hui Liu, Yuheng Jia, Junhui Hou, Qingfu Zhang:
Learning Low-Rank Graph With Enhanced Supervision. IEEE Trans. Circuits Syst. Video Technol. 32(4): 2501-2506 (2022) - [j139]Yuheng Jia, Hui Liu, Junhui Hou, Sam Kwong, Qingfu Zhang:
Self-Supervised Symmetric Nonnegative Matrix Factorization. IEEE Trans. Circuits Syst. Video Technol. 32(7): 4526-4537 (2022) - [j138]Jialong Shi, Jianyong Sun, Qingfu Zhang, Kai Ye:
Homotopic Convex Transformation: A New Landscape Smoothing Method for the Traveling Salesman Problem. IEEE Trans. Cybern. 52(1): 495-507 (2022) - [j137]Jianping Luo, Liang Chen, Xia Li, Qingfu Zhang:
Novel Multitask Conditional Neural-Network Surrogate Models for Expensive Optimization. IEEE Trans. Cybern. 52(5): 3984-3997 (2022) - [j136]Genghui Li, Qingfu Zhang, Qiuzhen Lin, Weifeng Gao:
A Three-Level Radial Basis Function Method for Expensive Optimization. IEEE Trans. Cybern. 52(7): 5720-5731 (2022) - [j135]Zhifang Wei, Weifeng Gao, Genghui Li, Qingfu Zhang:
A Penalty-Based Differential Evolution for Multimodal Optimization. IEEE Trans. Cybern. 52(7): 6024-6033 (2022) - [j134]Jianyong Sun, Wei Zheng, Qingfu Zhang, Zongben Xu:
Graph Neural Network Encoding for Community Detection in Attribute Networks. IEEE Trans. Cybern. 52(8): 7791-7804 (2022) - [j133]Yuheng Jia, Hui Liu, Junhui Hou, Sam Kwong, Qingfu Zhang:
Semisupervised Affinity Matrix Learning via Dual-Channel Information Recovery. IEEE Trans. Cybern. 52(8): 7919-7930 (2022) - [j132]Zhenkun Wang, Hui-Ling Zhen, Jingda Deng, Qingfu Zhang, Xijun Li, Mingxuan Yuan, Jia Zeng:
Multiobjective Optimization-Aided Decision-Making System for Large-Scale Manufacturing Planning. IEEE Trans. Cybern. 52(8): 8326-8339 (2022) - [j131]Genghui Li, Qingfu Zhang, Zhenkun Wang:
Evolutionary Competitive Multitasking Optimization. IEEE Trans. Evol. Comput. 26(2): 278-289 (2022) - [j130]Xinye Cai, Qi Sun, Zhenhua Li, Yushun Xiao, Yi Mei, Qingfu Zhang, Xiaoping Li:
Cooperative Coevolution With Knowledge-Based Dynamic Variable Decomposition for Bilevel Multiobjective Optimization. IEEE Trans. Evol. Comput. 26(6): 1553-1565 (2022) - [j129]Tongfei Liu, Maoguo Gong, Di Lu, Qingfu Zhang, Hanhong Zheng, Fenlong Jiang, Mingyang Zhang:
Building Change Detection for VHR Remote Sensing Images via Local-Global Pyramid Network and Cross-Task Transfer Learning Strategy. IEEE Trans. Geosci. Remote. Sens. 60: 1-17 (2022) - [j128]Zhaoyi Yan, Ruimao Zhang, Hongzhi Zhang, Qingfu Zhang, Wangmeng Zuo:
Crowd Counting Via Perspective-Guided Fractional-Dilation Convolution. IEEE Trans. Multim. 24: 2633-2647 (2022) - [j127]Xinye Cai, Haiyang Xu, Xiaoping Li, Kang Wang, Long Chen, Rubén Ruiz García, Qingfu Zhang:
A Bi-Objective Learn-and-Deploy Scheduling Method for Bursty and Stochastic Requests on Heterogeneous Cloud Servers. IEEE Trans. Parallel Distributed Syst. 33(10): 4547-4562 (2022) - [j126]Jiahai Wang, Yanyue Li, Qingfu Zhang, Zizhen Zhang, Shangce Gao:
Cooperative Multiobjective Evolutionary Algorithm With Propulsive Population for Constrained Multiobjective Optimization. IEEE Trans. Syst. Man Cybern. Syst. 52(6): 3476-3491 (2022) - [j125]Zhenhua Li, Shuo Zhang, Xinye Cai, Qingfu Zhang, Xiaomin Zhu, Zhun Fan, Xiuyi Jia:
Noisy Optimization by Evolution Strategies With Online Population Size Learning. IEEE Trans. Syst. Man Cybern. Syst. 52(9): 5816-5828 (2022) - [c122]Shaolong Shi, Yifan Chen, Qiang Liu, Jurong Ding, Qingfu Zhang:
Dynamic In Vivo Computation: Nanobiosensing from a Dynamic Optimization Perspective. CEC 2022: 1-7 - [c121]Raphaël Cosson, Bilel Derbel, Arnaud Liefooghe, Sébastien Vérel, Hernán E. Aguirre, Qingfu Zhang, Kiyoshi Tanaka:
Cost-vs-accuracy of sampling in multi-objective combinatorial exploratory landscape analysis. GECCO 2022: 493-501 - [c120]Ke Li, Qingfu Zhang:
Decomposition multi-objective optimisation: current developments and future opportunities. GECCO Companion 2022: 1554-1571 - [c119]Xi Lin, Zhiyuan Yang, Qingfu Zhang:
Pareto Set Learning for Neural Multi-Objective Combinatorial Optimization. ICLR 2022 - [c118]Zhiyuan Yang, Qingfu Zhang:
EigenGRF: Layer-Wise Eigen-Learning for Controllable Generative Radiance Fields. ICONIP (1) 2022: 189-199 - [c117]Xi Lin, Zhiyuan Yang, Xiaoyuan Zhang, Qingfu Zhang:
Pareto Set Learning for Expensive Multi-Objective Optimization. NeurIPS 2022 - [c116]Zhen Song, Wenjian Luo, Xin Lin, Zeneng She, Qingfu Zhang:
On Multiobjective Knapsack Problems with Multiple Decision Makers. SSCI 2022: 156-163 - [i30]Xi Lin, Zhiyuan Yang, Qingfu Zhang:
Pareto Set Learning for Neural Multi-objective Combinatorial Optimization. CoRR abs/2203.15386 (2022) - [i29]Xi Lin, Zhiyuan Yang, Xiaoyuan Zhang, Qingfu Zhang:
Pareto Set Learning for Expensive Multi-Objective Optimization. CoRR abs/2210.08495 (2022) - 2021
- [j124]Jialong Shi, Jianyong Sun, Qingfu Zhang:
Multi-objectivization inspired metaheuristics for the sum-of-the-parts combinatorial optimization problems. Appl. Soft Comput. 103: 107157 (2021) - [j123]Lei Chen, Kalyanmoy Deb, Hai-Lin Liu, Qingfu Zhang:
Effect of Objective Normalization and Penalty Parameter on Penalty Boundary Intersection Decomposition-Based Evolutionary Many-Objective Optimization Algorithms. Evol. Comput. 29(1): 157-186 (2021) - [j122]Yu Zhou, Junhao Kang, Sam Kwong, Xu Wang, Qingfu Zhang:
An evolutionary multi-objective optimization framework of discretization-based feature selection for classification. Swarm Evol. Comput. 60: 100770 (2021) - [j121]Zhiyu Zhu, Hui Liu, Junhui Hou, Sen Jia, Qingfu Zhang:
Deep Amended Gradient Descent for Efficient Spectral Reconstruction From Single RGB Images. IEEE Trans. Computational Imaging 7: 1176-1188 (2021) - [j120]Yuheng Jia, Hui Liu, Junhui Hou, Sam Kwong, Qingfu Zhang:
Multi-View Spectral Clustering Tailored Tensor Low-Rank Representation. IEEE Trans. Circuits Syst. Video Technol. 31(12): 4784-4797 (2021) - [j119]Shengchao Zhou, Lining Xing, Xu Zheng, Ni Du, Ling Wang, Qingfu Zhang:
A Self-Adaptive Differential Evolution Algorithm for Scheduling a Single Batch-Processing Machine With Arbitrary Job Sizes and Release Times. IEEE Trans. Cybern. 51(3): 1430-1442 (2021) - [j118]Xinye Cai, Chao Xia, Qingfu Zhang, Zhiwei Mei, Han Hu, Lisong Wang, Jun Hu:
The Collaborative Local Search Based on Dynamic-Constrained Decomposition With Grids for Combinatorial Multiobjective Optimization. IEEE Trans. Cybern. 51(5): 2639-2650 (2021) - [j117]Xingquan Zuo, Xueqing Liu, Qingfu Zhang, Weiping Li, Xing Wan, Xinchao Zhao:
MOEA/D With Linear Programming for Double Row Layout Problem With Center-Islands. IEEE Trans. Cybern. 51(7): 3549-3561 (2021) - [j116]Jiawei Yuan, Hai-Lin Liu, Fangqing Gu, Qingfu Zhang, Zhaoshui He:
Investigating the Properties of Indicators and an Evolutionary Many-Objective Algorithm Using Promising Regions. IEEE Trans. Evol. Comput. 25(1): 75-86 (2021) - [j115]Genghui Li, Qingfu Zhang:
Multiple Penalties and Multiple Local Surrogates for Expensive Constrained Optimization. IEEE Trans. Evol. Comput. 25(4): 769-778 (2021) - [j114]Xinyan Liang, Qian Guo, Yuhua Qian, Weiping Ding, Qingfu Zhang:
Evolutionary Deep Fusion Method and its Application in Chemical Structure Recognition. IEEE Trans. Evol. Comput. 25(5): 883-893 (2021) - [j113]Bing-Chuan Wang, Han-Xiong Li, Qingfu Zhang, Yong Wang:
Decomposition-Based Multiobjective Optimization for Constrained Evolutionary Optimization. IEEE Trans. Syst. Man Cybern. Syst. 51(1): 574-587 (2021) - [j112]Weifeng Gao, Genghui Li, Qingfu Zhang, Yuting Luo, Zhenkun Wang:
Solving Nonlinear Equation Systems by a Two-Phase Evolutionary Algorithm. IEEE Trans. Syst. Man Cybern. Syst. 51(9): 5652-5663 (2021) - [c115]Yuheng Jia, Hui Liu, Junhui Hou, Qingfu Zhang:
Clustering Ensemble Meets Low-rank Tensor Approximation. AAAI 2021: 7970-7978 - [c114]Hui Li, Yuxiang Shui, Jianyong Sun, Qingfu Zhang:
Approximating Pareto Fronts in Evolutionary Multiobjective Optimization with Large Population Size. EMO 2021: 65-76 - [c113]Genghui Li, Qingfu Zhang:
Multitask Feature Selection for Objective Reduction. EMO 2021: 77-88 - [c112]Jingjing Chen, Qingfu Zhang, Genghui Li:
MOEA/D for Multiple Multi-objective Optimization. EMO 2021: 152-163 - [c111]Zhenkun Wang, Jingda Deng, Qingfu Zhang, Qite Yang:
On the Parameter Setting of the Penalty-Based Boundary Intersection Method in MOEA/D. EMO 2021: 413-423 - [c110]Meng Xu, Qingfu Zhang, Jianping Wang:
Discounted Sampling Policy Gradient for Robot Multi-objective Visual Control. EMO 2021: 441-452 - [c109]Fei Liu, Qingfu Zhang, Zhonghua Han:
MOEA/D with Gradient-Enhanced Kriging for Expensive Multiobjective Optimization. EMO 2021: 543-554 - [c108]Raphaël Cosson, Bilel Derbel, Arnaud Liefooghe, Hernán E. Aguirre, Kiyoshi Tanaka, Qingfu Zhang:
Decomposition-Based Multi-objective Landscape Features and Automated Algorithm Selection. EvoCOP 2021: 34-50 - [c107]Ke Li, Qingfu Zhang:
Decomposition multi-objective optimisation: current developments and future opportunities. GECCO Companion 2021: 881-898 - [c106]Zhiyu Zhu, Hui Liu, Junhui Hou, Huanqiang Zeng, Qingfu Zhang:
Semantic-embedded Unsupervised Spectral Reconstruction from Single RGB Images in the Wild. ICCV 2021: 2259-2268 - [e10]Hisao Ishibuchi, Qingfu Zhang, Ran Cheng, Ke Li, Hui Li, Handing Wang, Aimin Zhou:
Evolutionary Multi-Criterion Optimization - 11th International Conference, EMO 2021, Shenzhen, China, March 28-31, 2021, Proceedings. Lecture Notes in Computer Science 12654, Springer 2021, ISBN 978-3-030-72061-2 [contents] - [i28]Xianpeng Wang, Zhiming Dong, Lixin Tang, Qingfu Zhang:
Multiobjective Multitasking Optimization Based on Decomposition with Dual Neighborhoods. CoRR abs/2101.07548 (2021) - [i27]Yuheng Jia, Hui Liu, Junhui Hou, Sam Kwong, Qingfu Zhang:
Self-supervised Symmetric Nonnegative Matrix Factorization. CoRR abs/2103.01689 (2021) - [i26]Zhaoyi Yan, Ruimao Zhang, Hongzhi Zhang, Qingfu Zhang, Wangmeng Zuo:
Crowd Counting via Perspective-Guided Fractional-Dilation Convolution. CoRR abs/2107.03665 (2021) - [i25]Zhiyu Zhu, Hui Liu, Junhui Hou, Sen Jia, Qingfu Zhang:
Deep Amended Gradient Descent for Efficient Spectral Reconstruction from Single RGB Images. CoRR abs/2108.05547 (2021) - [i24]Zhiyu Zhu, Hui Liu, Junhui Hou, Huanqiang Zeng, Qingfu Zhang:
Semantic-embedded Unsupervised Spectral Reconstruction from Single RGB Images in the Wild. CoRR abs/2108.06659 (2021) - [i23]Jianfei Guo, Zhiyuan Yang, Xi Lin, Qingfu Zhang:
Template NeRF: Towards Modeling Dense Shape Correspondences from Category-Specific Object Images. CoRR abs/2111.04237 (2021) - 2020
- [j111]Zhun Fan, Wenji Li, Xinye Cai, Hui Li, Caimin Wei, Qingfu Zhang, Kalyanmoy Deb, Erik D. Goodman:
Difficulty Adjustable and Scalable Constrained Multiobjective Test Problem Toolkit. Evol. Comput. 28(3): 339-378 (2020) - [j110]Yangyang Li, Mengzhuo Tian, Yang Wang, Qingfu Zhang, Dhish Kumar Saxena, Licheng Jiao:
A new replica placement strategy based on multi-objective optimisation for HDFS. Int. J. Bio Inspired Comput. 16(1): 13-22 (2020) - [j109]Zhenhua Li, Qingfu Zhang:
Variable metric evolution strategies by mutation matrix adaptation. Inf. Sci. 541: 136-151 (2020) - [j108]Zhenhua Li, Xi Lin, Qingfu Zhang, Hai-Lin Liu:
Evolution strategies for continuous optimization: A survey of the state-of-the-art. Swarm Evol. Comput. 56: 100694 (2020) - [j107]Mengyuan Wu, Ke Li, Sam Kwong, Qingfu Zhang:
Evolutionary Many-Objective Optimization Based on Adversarial Decomposition. IEEE Trans. Cybern. 50(2): 753-764 (2020) - [j106]Jialong Shi, Qingfu Zhang, Jianyong Sun:
PPLS/D: Parallel Pareto Local Search Based on Decomposition. IEEE Trans. Cybern. 50(3): 1060-1071 (2020) - [j105]Zhenhua Li, Qingfu Zhang, Xi Lin, Hui-Ling Zhen:
Fast Covariance Matrix Adaptation for Large-Scale Black-Box Optimization. IEEE Trans. Cybern. 50(5): 2073-2083 (2020) - [j104]Jingda Deng, Qingfu Zhang:
Combining Simple and Adaptive Monte Carlo Methods for Approximating Hypervolume. IEEE Trans. Evol. Comput. 24(5): 896-907 (2020) - [j103]Qingling Zhu, Qingfu Zhang, Qiuzhen Lin:
A Constrained Multiobjective Evolutionary Algorithm With Detect-and-Escape Strategy. IEEE Trans. Evol. Comput. 24(5): 938-947 (2020) - [c105]Bo Liu, Mobayode O. Akinsolu, Qingfu Zhang:
Hybrid Single and Multiobjective optimization for Engineering Design without Exact Specifications. CEC 2020: 1-7 - [c104]Jun Hu, Qingfu Zhang, Yong-Chang Jiao:
A Novel Hybrid Tabu Search Algorithm With Binary Differential Operator for Knapsack Problems. CIS 2020: 259-263 - [c103]Geoffrey Pruvost, Bilel Derbel, Arnaud Liefooghe, Ke Li, Qingfu Zhang:
On the Combined Impact of Population Size and Sub-problem Selection in MOEA/D. EvoCOP 2020: 131-147 - [c102]Nicolas Berveglieri, Bilel Derbel, Arnaud Liefooghe, Hernán E. Aguirre, Qingfu Zhang, Kiyoshi Tanaka:
Designing parallelism in surrogate-assisted multiobjective optimization based on decomposition. GECCO 2020: 462-470 - [c101]Geoffrey Pruvost, Bilel Derbel, Arnaud Liefooghe, Sébastien Vérel, Qingfu Zhang:
Surrogate-assisted multi-objective combinatorial optimization based on decomposition and walsh basis. GECCO 2020: 542-550 - [c100]Ke Li, Qingfu Zhang, Saúl Zapotecas Martínez:
Decomposition multi-objective optimisation: current developments and future opportunities. GECCO Companion 2020: 859-876 - [i22]Geoffrey Pruvost, Bilel Derbel, Arnaud Liefooghe, Ke Li, Qingfu Zhang:
On the Combined Impact of Population Size and Sub-problem Selection in MOEA/D. CoRR abs/2004.06961 (2020) - [i21]Yuheng Jia, Hui Liu, Junhui Hou, Sam Kwong, Qingfu Zhang:
Multi-View Spectral Clustering Tailored Tensor Low-Rank Representation. CoRR abs/2004.14705 (2020) - [i20]Jianyong Sun, Wei Zheng, Qingfu Zhang, Zongben Xu:
Graph Neural Network Encoding for Community Detection in Attribute Networks. CoRR abs/2006.03996 (2020) - [i19]Xi Lin, Zhiyuan Yang, Qingfu Zhang, Sam Kwong:
Controllable Pareto Multi-Task Learning. CoRR abs/2010.06313 (2020) - [i18]Zhihao Peng, Yuheng Jia, Hui Liu, Junhui Hou, Qingfu Zhang:
Maximum Entropy Subspace Clustering Network. CoRR abs/2012.03176 (2020) - [i17]Yuheng Jia, Hui Liu, Junhui Hou, Qingfu Zhang:
Clustering Ensemble Meets Low-rank Tensor Approximation. CoRR abs/2012.08916 (2020)
2010 – 2019
- 2019
- [j102]Hu Zhang, Jianyong Sun, Tonglin Liu, Ke Zhang, Qingfu Zhang:
Balancing exploration and exploitation in multiobjective evolutionary optimization. Inf. Sci. 497: 129-148 (2019) - [j101]Jianyong Sun, Hu Zhang, Aimin Zhou, Qingfu Zhang, Ke Zhang:
A new learning-based adaptive multi-objective evolutionary algorithm. Swarm Evol. Comput. 44: 304-319 (2019) - [j100]Zhun Fan, Wenji Li, Xinye Cai, Hui Li, Caimin Wei, Qingfu Zhang, Kalyanmoy Deb, Erik D. Goodman:
Push and pull search for solving constrained multi-objective optimization problems. Swarm Evol. Comput. 44: 665-679 (2019) - [j99]Hui Li, Jingda Deng, Qingfu Zhang, Jianyong Sun:
Adaptive Epsilon dominance in decomposition-based multiobjective evolutionary algorithm. Swarm Evol. Comput. 45: 52-67 (2019) - [j98]Hui Li, Kalyanmoy Deb, Qingfu Zhang, Ponnuthurai N. Suganthan, Lei Chen:
Comparison between MOEA/D and NSGA-III on a set of novel many and multi-objective benchmark problems with challenging difficulties. Swarm Evol. Comput. 46: 104-117 (2019) - [j97]Jiahai Wang, Taiyao Weng, Qingfu Zhang:
A Two-Stage Multiobjective Evolutionary Algorithm for Multiobjective Multidepot Vehicle Routing Problem With Time Windows. IEEE Trans. Cybern. 49(7): 2467-2478 (2019) - [j96]Xinye Cai, Haoran Sun, Qingfu Zhang, Yuhua Huang:
A Grid Weighted Sum Pareto Local Search for Combinatorial Multi and Many-Objective Optimization. IEEE Trans. Cybern. 49(9): 3586-3598 (2019) - [j95]Xiaoyu He, Yuren Zhou, Zefeng Chen, Qingfu Zhang:
Evolutionary Many-Objective Optimization Based on Dynamical Decomposition. IEEE Trans. Evol. Comput. 23(3): 361-375 (2019) - [j94]Mengyuan Wu, Ke Li, Sam Kwong, Qingfu Zhang, Jun Zhang:
Learning to Decompose: A Paradigm for Decomposition-Based Multiobjective Optimization. IEEE Trans. Evol. Comput. 23(3): 376-390 (2019) - [j93]Xiaoliang Ma, Xiaodong Li, Qingfu Zhang, Ke Tang, Zhengping Liang, Weixin Xie, Zexuan Zhu:
A Survey on Cooperative Co-Evolutionary Algorithms. IEEE Trans. Evol. Comput. 23(3): 421-441 (2019) - [j92]Jianyong Sun, Hu Zhang, Aimin Zhou, Qingfu Zhang, Ke Zhang, Zhenbiao Tu, Kai Ye:
Learning From a Stream of Nonstationary and Dependent Data in Multiobjective Evolutionary Optimization. IEEE Trans. Evol. Comput. 23(4): 541-555 (2019) - [j91]Zhenkun Wang, Yew-Soon Ong, Jianyong Sun, Abhishek Gupta, Qingfu Zhang:
A Generator for Multiobjective Test Problems With Difficult-to-Approximate Pareto Front Boundaries. IEEE Trans. Evol. Comput. 23(4): 556-571 (2019) - [j90]Wenjun Wang, Shaoqiang Yang, Qiuzhen Lin, Qingfu Zhang, Ka-Chun Wong, Carlos A. Coello Coello, Jianyong Chen:
An Effective Ensemble Framework for Multiobjective Optimization. IEEE Trans. Evol. Comput. 23(4): 645-659 (2019) - [j89]Jingda Deng, Qingfu Zhang:
Approximating Hypervolume and Hypervolume Contributions Using Polar Coordinate. IEEE Trans. Evol. Comput. 23(5): 913-918 (2019) - [j88]Hui Li, Kalyanmoy Deb, Qingfu Zhang:
Variable-Length Pareto Optimization via Decomposition-Based Evolutionary Multiobjective Algorithm. IEEE Trans. Evol. Comput. 23(6): 987-999 (2019) - [c99]Zhenhua Li, Jingda Deng, Weifeng Gao, Qingfu Zhang, Hai-Lin Liu:
An Efficient Elitist Covariance Matrix Adaptation for Continuous Local Search in High Dimension. CEC 2019: 936-943 - [c98]Qingling Zhu, Qingfu Zhang, Qiuzhen Lin, Jianyong Sun:
MOEA/D with Two Types of Weight Vectors for Handling Constraints. CEC 2019: 1359-1365 - [c97]Genghui Li, Qingfu Zhang, Jianyong Sun, Zhonghua Han:
Radial Basis Function Assisted Optimization Method with Batch Infill Sampling Criterion for Expensive Optimization. CEC 2019: 1664-1671 - [c96]Zhonghua Han, Fei Liu, Chenzhou Xu, Keshi Zhang, Qingfu Zhang:
Efficient Multi-Objective Evolutionary Algorithm for Constrained Global Optimization of Expensive Functions. CEC 2019: 2026-2033 - [c95]Hui Li, Jianyong Sun, Qingfu Zhang, Yuxiang Shui:
Adjustment of Weight Vectors of Penalty-Based Boundary Intersection Method in MOEA/D. EMO 2019: 91-100 - [c94]Jialong Shi, Jianyong Sun, Qingfu Zhang:
Multi-objective Techniques for Single-Objective Local Search: A Case Study on Traveling Salesman Problem. EMO 2019: 114-125 - [c93]Ke Li, Qingfu Zhang:
Decomposition multi-objective optimisation: current developments and future opportunities. GECCO (Companion) 2019: 1002-1031 - [c92]Hui Liu, Yuheng Jia, Junhui Hou, Qingfu Zhang:
Imbalance-aware Pairwise Constraint Propagation. ACM Multimedia 2019: 1605-1613 - [c91]Xi Lin, Hui-Ling Zhen, Zhenhua Li, Qingfu Zhang, Sam Kwong:
Pareto Multi-Task Learning. NeurIPS 2019: 12037-12047 - [i16]Jialong Shi, Jianyong Sun, Qingfu Zhang:
Homotopic Convex Transformation: A New Method to Smooth the Landscape of the Traveling Salesman Problem. CoRR abs/1906.03223 (2019) - [i15]Jialong Shi, Jianyong Sun, Qingfu Zhang:
Multi-Objectivizing Sum-of-the-Parts Combinatorial Optimization Problems by Random Objective Decomposition. CoRR abs/1911.04658 (2019) - [i14]Xi Lin, Hui-Ling Zhen, Zhenhua Li, Qingfu Zhang, Sam Kwong:
Pareto Multi-Task Learning. CoRR abs/1912.12854 (2019) - 2018
- [j87]Jialong Shi, Qingfu Zhang:
A new cooperative framework for parallel trajectory-based metaheuristics. Appl. Soft Comput. 65: 374-386 (2018) - [j86]Jialong Shi, Qingfu Zhang:
Corrigendum to "A new cooperative framework for parallel trajectory-based metaheuristics" [Applied Soft Computing 65 (2018) 374-386]. Appl. Soft Comput. 70: 946 (2018) - [j85]Yuanchun Jiang, Yezheng Liu, Jennifer Shang, Pinar Yildirim, Qingfu Zhang:
Optimizing online recurring promotions for dual-channel retailers: Segmented markets with multiple objectives. Eur. J. Oper. Res. 267(2): 612-627 (2018) - [j84]Jialong Shi, Qingfu Zhang, Edward P. K. Tsang:
EB-GLS: an improved guided local search based on the big valley structure. Memetic Comput. 10(3): 333-350 (2018) - [j83]Qingfu Zhang, Fei Chao:
Special issue on The 17th Annual UK Workshop on Computational Intelligence. Soft Comput. 22(21): 6965-6966 (2018) - [j82]Hui Li, Jianyong Sun, Mingyang Wang, Qingfu Zhang:
MOEA/D with chain-based random local search for sparse optimization. Soft Comput. 22(21): 7087-7102 (2018) - [j81]Xiaoliang Ma, Qingfu Zhang, Guangdong Tian, Junshan Yang, Zexuan Zhu:
On Tchebycheff Decomposition Approaches for Multiobjective Evolutionary Optimization. IEEE Trans. Evol. Comput. 22(2): 226-244 (2018) - [j80]Hai-Lin Liu, Lei Chen, Qingfu Zhang, Kalyanmoy Deb:
Adaptively Allocating Search Effort in Challenging Many-Objective Optimization Problems. IEEE Trans. Evol. Comput. 22(3): 433-448 (2018) - [j79]Xinye Cai, Zhiwei Mei, Zhun Fan, Qingfu Zhang:
A Constrained Decomposition Approach With Grids for Evolutionary Multiobjective Optimization. IEEE Trans. Evol. Comput. 22(4): 564-577 (2018) - [j78]Zhenhua Li, Qingfu Zhang:
A Simple Yet Efficient Evolution Strategy for Large-Scale Black-Box Optimization. IEEE Trans. Evol. Comput. 22(5): 637-646 (2018) - [j77]Hui Li, Qingfu Zhang, Jingda Deng, Zong-Ben Xu:
A Preference-Based Multiobjective Evolutionary Approach for Sparse Optimization. IEEE Trans. Neural Networks Learn. Syst. 29(5): 1716-1731 (2018) - [c90]Jianyong Sun, Hu Zhang, Qingfu Zhang, Huanhuan Chen:
Balancing exploration and exploitation in multiobjective evolutionary optimization. GECCO (Companion) 2018: 199-200 - [c89]Genghui Li, Qingfu Zhang, Weifeng Gao:
Multipopulation evolution framework for multifactorial optimization. GECCO (Companion) 2018: 215-216 - [c88]Bilel Derbel, Arnaud Liefooghe, Qingfu Zhang, Sébastien Vérel, Hernán E. Aguirre, Kiyoshi Tanaka:
A set-oriented MOEA/D. GECCO 2018: 617-624 - [c87]Jialong Shi, Qingfu Zhang, Bilel Derbel, Arnaud Liefooghe, Jianyong Sun:
Parallel pareto local search revisited: first experimental results on bi-objective UBQP. GECCO 2018: 753-760 - [c86]Ke Li, Qingfu Zhang:
Decomposition multi-objective optimisation: current developments and future opportunities. GECCO (Companion) 2018: 907-936 - [e9]Jianyong Qiao, Xinchao Zhao, Linqiang Pan, Xingquan Zuo, Xingyi Zhang, Qingfu Zhang, Shanguo Huang:
Bio-inspired Computing: Theories and Applications - 13th International Conference, BIC-TA 2018, Beijing, China, November 2-4, 2018, Proceedings, Part I. Communications in Computer and Information Science 951, Springer 2018, ISBN 978-981-13-2825-1 [contents] - [e8]Jianyong Qiao, Xinchao Zhao, Linqiang Pan, Xingquan Zuo, Xingyi Zhang, Qingfu Zhang, Shanguo Huang:
Bio-inspired Computing: Theories and Applications - 13th International Conference, BIC-TA 2018, Beijing, China, November 2-4, 2018, Proceedings, Part II. Communications in Computer and Information Science 952, Springer 2018, ISBN 978-981-13-2828-2 [contents] - [e7]Fei Chao, Steven Schockaert, Qingfu Zhang:
Advances in Computational Intelligence Systems - Contributions Presented at the 17th UK Workshop on Computational Intelligence, September 6-8, 2017, Cardiff, UK. Advances in Intelligent Systems and Computing 650, Springer 2018, ISBN 978-3-319-66938-0 [contents] - [i13]Xinye Cai, Haoran Sun, Chunyang Zhu, Zhenyu Li, Qingfu Zhang:
Locating the boundaries of Pareto fronts: A Many-Objective Evolutionary Algorithm Based on Corner Solution Search. CoRR abs/1806.02967 (2018) - [i12]Hui-Ling Zhen, Xi Lin, Alan Z. Tang, Zhenhua Li, Qingfu Zhang, Sam Kwong:
Nonlinear Collaborative Scheme for Deep Neural Networks. CoRR abs/1811.01316 (2018) - [i11]Xi Lin, Hui-Ling Zhen, Zhenhua Li, Qingfu Zhang, Sam Kwong:
A Batched Scalable Multi-Objective Bayesian Optimization Algorithm. CoRR abs/1811.01323 (2018) - 2017
- [j76]Xinsheng Lai, Yuren Zhou, Xiaoyun Xia, Qingfu Zhang:
Performance Analysis of Evolutionary Algorithms for Steiner Tree Problems. Evol. Comput. 25(4) (2017) - [j75]Zhenkun Wang, Qingfu Zhang, Hui Li, Hisao Ishibuchi, Licheng Jiao:
On the use of two reference points in decomposition based multiobjective evolutionary algorithms. Swarm Evol. Comput. 34: 89-102 (2017) - [j74]Hui Li, Qingfu Zhang, Jingda Deng:
Biased Multiobjective Optimization and Decomposition Algorithm. IEEE Trans. Cybern. 47(1): 52-66 (2017) - [j73]Yu Zhou, Sam Kwong, Hainan Guo, Xiao Zhang, Qingfu Zhang:
A Two-Phase Evolutionary Approach for Compressive Sensing Reconstruction. IEEE Trans. Cybern. 47(9): 2651-2663 (2017) - [j72]Xinye Cai, Zhixiang Yang, Zhun Fan, Qingfu Zhang:
Decomposition-Based-Sorting and Angle-Based-Selection for Evolutionary Multiobjective and Many-Objective Optimization. IEEE Trans. Cybern. 47(9): 2824-2837 (2017) - [j71]Ke Li, Kalyanmoy Deb, Qingfu Zhang, Qiang Zhang:
Efficient Nondomination Level Update Method for Steady-State Evolutionary Multiobjective Optimization. IEEE Trans. Cybern. 47(9): 2838-2849 (2017) - [j70]Xiao Zhang, Yu Zhou, Qingfu Zhang, Victor C. S. Lee, Minming Li:
Problem Specific MOEA/D for Barrier Coverage with Wireless Sensors. IEEE Trans. Cybern. 47(11): 3854-3865 (2017) - [j69]Mengyuan Wu, Ke Li, Sam Kwong, Yu Zhou, Qingfu Zhang:
Matching-Based Selection With Incomplete Lists for Decomposition Multiobjective Optimization. IEEE Trans. Evol. Comput. 21(4): 554-568 (2017) - [c85]Kalyan Shankar Bhattacharjee, Hemant Kumar Singh, Tapabrata Ray, Qingfu Zhang:
Decomposition Based Evolutionary Algorithm with a Dual Set of reference vectors. CEC 2017: 105-112 - [c84]Jialong Shi, Qingfu Zhang, Bilel Derbel, Arnaud Liefooghe:
A Parallel Tabu Search for the Unconstrained Binary Quadratic Programming problem. CEC 2017: 557-564 - [c83]Zhenhua Li, Qingfu Zhang:
An efficient rank-1 update for Cholesky CMA-ES using auxiliary evolution path. CEC 2017: 913-920 - [c82]Xi Lin, Qingfu Zhang, Sam Kwong:
An efficient batch expensive multi-objective evolutionary algorithm based on Decomposition. CEC 2017: 1343-1349 - [c81]Mengyuan Wu, Sam Kwong, Yuheng Jia, Ke Li, Qingfu Zhang:
Adaptive weights generation for decomposition-based multi-objective optimization using Gaussian process regression. GECCO 2017: 641-648 - [c80]Jialong Shi, Qingfu Zhang, Bilel Derbel, Arnaud Liefooghe, Sébastien Vérel:
Using Parallel Strategies to Speed up Pareto Local Search. SEAL 2017: 62-74 - [c79]Jingda Deng, Qingfu Zhang, Hui Li:
On the Use of Dynamic Reference Points in HypE. SEAL 2017: 122-133 - [c78]Hui Li, Jianyong Sun, Yuanyuan Fan, Mingyang Wang, Qingfu Zhang:
A New Steady-State MOEA/D for Sparse Optimization. UKCI 2017: 119-131 - [c77]Xiaogang Fu, Jianyong Sun, Qingfu Zhang:
A Reference-Inspired Evolutionary Algorithm with Subregion Decomposition for Many-Objective Optimization. UKCI 2017: 145-156 - [e6]Yuhui Shi, Kay Chen Tan, Mengjie Zhang, Ke Tang, Xiaodong Li, Qingfu Zhang, Ying Tan, Martin Middendorf, Yaochu Jin:
Simulated Evolution and Learning - 11th International Conference, SEAL 2017, Shenzhen, China, November 10-13, 2017, Proceedings. Lecture Notes in Computer Science 10593, Springer 2017, ISBN 978-3-319-68758-2 [contents] - [i10]Mengyuan Wu, Ke Li, Sam Kwong, Qingfu Zhang:
Evolutionary Many-Objective Optimization Based on Adversarial Decomposition. CoRR abs/1704.02340 (2017) - [i9]Yuan Yuan, Yew-Soon Ong, Liang Feng, A. Kai Qin, Abhishek Gupta, Bingshui Da, Qingfu Zhang, Kay Chen Tan, Yaochu Jin, Hisao Ishibuchi:
Evolutionary Multitasking for Multiobjective Continuous Optimization: Benchmark Problems, Performance Metrics and Baseline Results. CoRR abs/1706.02766 (2017) - [i8]Zhun Fan, Wenji Li, Xinye Cai, Hui Li, Caimin Wei, Qingfu Zhang, Kalyanmoy Deb, Erik D. Goodman:
Push and Pull Search for Solving Constrained Multi-objective Optimization Problems. CoRR abs/1709.05915 (2017) - [i7]Jialong Shi, Qingfu Zhang, Edward P. K. Tsang:
EB-GLS: An Improved Guided Local Search Based on the Big Valley Structure. CoRR abs/1709.07576 (2017) - [i6]Jialong Shi, Qingfu Zhang:
A New Cooperative Framework for Parallel Trajectory-Based Metaheuristics. CoRR abs/1709.08902 (2017) - [i5]Jialong Shi, Qingfu Zhang:
PPLS/D: Parallel Pareto Local Search based on Decomposition. CoRR abs/1709.09785 (2017) - [i4]Zhenhua Li, Qingfu Zhang:
A Simple Yet Efficient Rank One Update for Covariance Matrix Adaptation. CoRR abs/1710.03996 (2017) - 2016
- [j68]Bo Liu, Slawomir Koziel, Qingfu Zhang:
A multi-fidelity surrogate-model-assisted evolutionary algorithm for computationally expensive optimization problems. J. Comput. Sci. 12: 28-37 (2016) - [j67]Hong Li, Qingfu Zhang, Qin Chen, Li Zhang, Yong-Chang Jiao:
Multiobjective differential evolution algorithm based on decomposition for a type of multiobjective bilevel programming problems. Knowl. Based Syst. 107: 271-288 (2016) - [j66]Zhenkun Wang, Qingfu Zhang, Aimin Zhou, Maoguo Gong, Licheng Jiao:
Adaptive Replacement Strategies for MOEA/D. IEEE Trans. Cybern. 46(2): 474-486 (2016) - [j65]Handing Wang, Qingfu Zhang, Licheng Jiao, Xin Yao:
Regularity Model for Noisy Multiobjective Optimization. IEEE Trans. Cybern. 46(9): 1997-2009 (2016) - [j64]Aimin Zhou, Qingfu Zhang:
Are All the Subproblems Equally Important? Resource Allocation in Decomposition-Based Multiobjective Evolutionary Algorithms. IEEE Trans. Evol. Comput. 20(1): 52-64 (2016) - [j63]Luping Wang, Qingfu Zhang, Aimin Zhou, Maoguo Gong, Licheng Jiao:
Constrained Subproblems in a Decomposition-Based Multiobjective Evolutionary Algorithm. IEEE Trans. Evol. Comput. 20(3): 475-480 (2016) - [j62]Dhish Kumar Saxena, Arnab Sinha, João A. Duro, Qingfu Zhang:
Entropy-Based Termination Criterion for Multiobjective Evolutionary Algorithms. IEEE Trans. Evol. Comput. 20(4): 485-498 (2016) - [j61]Hu Zhang, Aimin Zhou, Shenmin Song, Qingfu Zhang, Xiao Zhi Gao, Jun Zhang:
A Self-Organizing Multiobjective Evolutionary Algorithm. IEEE Trans. Evol. Comput. 20(5): 792-806 (2016) - [j60]Rui Wang, Qingfu Zhang, Tao Zhang:
Decomposition-Based Algorithms Using Pareto Adaptive Scalarizing Methods. IEEE Trans. Evol. Comput. 20(6): 821-837 (2016) - [c76]Hui Li, Yuanyuan Fan, Qingfu Zhang, Zongben Xu, Jingda Deng:
A multi-phase multiobjective approach based on decomposition for sparse reconstruction. CEC 2016: 601-608 - [c75]Bo Liu, Nan Sun, Qingfu Zhang, Vic Grout, Georges G. E. Gielen:
A surrogate model assisted evolutionary algorithm for computationally expensive design optimization problems with discrete variables. CEC 2016: 1650-1657 - [c74]Yueming Lyu, Qingfu Zhang, Ka-Chun Wong:
A cone order sequence based multi-objective evolutionary algorithm. CEC 2016: 2169-2176 - [c73]Yu Zhou, Sam Kwong, Qingfu Zhang, Mengyuan Wu:
Adaptive patch-based sparsity estimation for image via MOEA/D. CEC 2016: 2573-2580 - [c72]Xi Lin, Qingfu Zhang, Sam Kwong:
A decomposition based multiobjective evolutionary algorithm with classification. CEC 2016: 3292-3299 - [c71]Hai-Lin Liu, Lei Chen, Qingfu Zhang, Kalyanmoy Deb:
An evolutionary many-objective optimisation algorithm with adaptive region decomposition. CEC 2016: 4763-4769 - [c70]Qin Chen, Bingxiang Long, Qingfu Zhang:
Black-box expensive multiobjective optimization with adaptive in-fill rules. CEC 2016: 4770-4774 - [c69]Bilel Derbel, Arnaud Liefooghe, Qingfu Zhang, Hernán E. Aguirre, Kiyoshi Tanaka:
Local Search Move Strategies within MOEA/D. GECCO (Companion) 2016: 73-74 - [c68]Bilel Derbel, Arnaud Liefooghe, Qingfu Zhang, Hernán E. Aguirre, Kiyoshi Tanaka:
Multi-objective Local Search Based on Decomposition. PPSN 2016: 431-441 - [c67]Zhenhua Li, Qingfu Zhang:
What Does the Evolution Path Learn in CMA-ES? PPSN 2016: 751-760 - [i3]Jianyong Sun, Hu Zhang, Aimin Zhou, Qingfu Zhang:
Learning from Non-Stationary Stream Data in Multiobjective Evolutionary Algorithm. CoRR abs/1606.05169 (2016) - [i2]Mengyuan Wu, Ke Li, Sam Kwong, Yu Zhou, Qingfu Zhang:
Adaptive Two-Level Matching-Based Selection for Decomposition Multi-Objective Optimization. CoRR abs/1608.08607 (2016) - [i1]Zhun Fan, Wenji Li, Xinye Cai, Hui Li, Kaiwen Hu, Qingfu Zhang, Kalyanmoy Deb, Erik D. Goodman:
Difficulty Adjustable and Scalable Constrained Multi-objective Test Problem Toolkit. CoRR abs/1612.07603 (2016) - 2015
- [j59]Yue-Jiao Gong, Wei-Neng Chen, Zhi-Hui Zhan, Jun Zhang, Yun Li, Qingfu Zhang, Jing-Jing Li:
Distributed evolutionary algorithms and their models: A survey of the state-of-the-art. Appl. Soft Comput. 34: 286-300 (2015) - [j58]Zexuan Zhu, Jun Xiao, Jian-Qiang Li, Fangxiao Wang, Qingfu Zhang:
Global path planning of wheeled robots using multi-objective memetic algorithms. Integr. Comput. Aided Eng. 22(4): 387-404 (2015) - [j57]Zhiwei Feng, Qingbin Zhang, Qingfu Zhang, Qiangang Tang, Tao Yang, Yang Ma:
A multiobjective optimization based framework to balance the global exploration and local exploitation in expensive optimization. J. Glob. Optim. 61(4): 677-694 (2015) - [j56]Álvaro Rubio-Largo, Qingfu Zhang, Miguel A. Vega-Rodríguez:
Multiobjective evolutionary algorithm based on decomposition for 3-objective optimization problems with objectives in different scales. Soft Comput. 19(1): 157-166 (2015) - [j55]Ke Li, Sam Kwong, Qingfu Zhang, Kalyanmoy Deb:
Interrelationship-Based Selection for Decomposition Multiobjective Optimization. IEEE Trans. Cybern. 45(10): 2076-2088 (2015) - [j54]Xinye Cai, Yexing Li, Zhun Fan, Qingfu Zhang:
An External Archive Guided Multiobjective Evolutionary Algorithm Based on Decomposition for Combinatorial Optimization. IEEE Trans. Evol. Comput. 19(4): 508-523 (2015) - [j53]Ke Li, Kalyanmoy Deb, Qingfu Zhang, Sam Kwong:
An Evolutionary Many-Objective Optimization Algorithm Based on Dominance and Decomposition. IEEE Trans. Evol. Comput. 19(5): 694-716 (2015) - [j52]Aimin Zhou, Jianyong Sun, Qingfu Zhang:
An Estimation of Distribution Algorithm With Cheap and Expensive Local Search Methods. IEEE Trans. Evol. Comput. 19(6): 807-822 (2015) - [j51]Shengbin Liao, Qingfu Zhang:
A Multiutility Framework With Application for Studying Tradeoff Between Utility and Lifetime in Wireless Sensor Networks. IEEE Trans. Veh. Technol. 64(10): 4701-4711 (2015) - [c66]Ke Li, Kalyanmoy Deb, Qingfu Zhang:
Evolutionary multiobjective optimization with hybrid selection principles. CEC 2015: 900-907 - [c65]Hui Li, Min Ding, Jingda Deng, Qingfu Zhang:
On the use of random weights in MOEA/D. CEC 2015: 978-985 - [c64]Qin Chen, Cheng Fu, Qingfu Zhang:
On performance of decomposition-based MOEAs in noisy environment. CEC 2015: 3412-3417 - [c63]Rui Wang, Qingfu Zhang, Tao Zhang:
Pareto Adaptive Scalarising Functions for Decomposition Based Algorithms. EMO (1) 2015: 248-262 - [c62]Xiao Zhang, Yu Zhou, Qingfu Zhang, Victor C. S. Lee, Minming Li:
Multi-objective Optimization of Barrier Coverage with Wireless Sensors. EMO (2) 2015: 557-572 - [c61]Mengyuan Wu, Sam Kwong, Qingfu Zhang, Ke Li, Ran Wang, Bo Liu:
Two-Level Stable Matching-Based Selection in MOEA/D. SMC 2015: 1720-1725 - [c60]Zhenkun Wang, Qingfu Zhang, Hui Li:
Balancing Convergence and Diversity by Using Two Different Reproduction Operators in MOEA/D: Some Preliminary Work. SMC 2015: 2849-2854 - 2014
- [j50]Xinchao Zhao, Wenqiao Lin, Qingfu Zhang:
Enhanced particle swarm optimization based on principal component analysis and line search. Appl. Math. Comput. 229: 440-456 (2014) - [j49]Sam Kwong, Qingfu Zhang:
Bridging machine learning and evolutionary computation. Neurocomputing 146: 1 (2014) - [j48]João A. Duro, Dhish Kumar Saxena, Kalyanmoy Deb, Qingfu Zhang:
Machine learning based decision support for many-objective optimization problems. Neurocomputing 146: 30-47 (2014) - [j47]Álvaro Rubio-Largo, Qingfu Zhang, Miguel A. Vega-Rodríguez:
A multiobjective evolutionary algorithm based on decomposition with normal boundary intersection for traffic grooming in optical networks. Inf. Sci. 289: 91-116 (2014) - [j46]Aimin Zhou, Yaochu Jin, Qingfu Zhang:
A Population Prediction Strategy for Evolutionary Dynamic Multiobjective Optimization. IEEE Trans. Cybern. 44(1): 40-53 (2014) - [j45]Jianyong Sun, Qingfu Zhang, Xin Yao:
Meta-Heuristic Combining Prior Online and Offline Information for the Quadratic Assignment Problem. IEEE Trans. Cybern. 44(3): 429-444 (2014) - [j44]Liangjun Ke, Qingfu Zhang, Roberto Battiti:
Hybridization of Decomposition and Local Search for Multiobjective Optimization. IEEE Trans. Cybern. 44(10): 1808-1820 (2014) - [j43]Ke Li, Álvaro Fialho, Sam Kwong, Qingfu Zhang:
Adaptive Operator Selection With Bandits for a Multiobjective Evolutionary Algorithm Based on Decomposition. IEEE Trans. Evol. Comput. 18(1): 114-130 (2014) - [j42]Bo Liu, Qingfu Zhang, Georges G. E. Gielen:
A Gaussian Process Surrogate Model Assisted Evolutionary Algorithm for Medium Scale Expensive Optimization Problems. IEEE Trans. Evol. Comput. 18(2): 180-192 (2014) - [j41]Hai-Lin Liu, Fangqing Gu, Qingfu Zhang:
Decomposition of a Multiobjective Optimization Problem Into a Number of Simple Multiobjective Subproblems. IEEE Trans. Evol. Comput. 18(3): 450-455 (2014) - [j40]Ke Li, Qingfu Zhang, Sam Kwong, Miqing Li, Ran Wang:
Stable Matching-Based Selection in Evolutionary Multiobjective Optimization. IEEE Trans. Evol. Comput. 18(6): 909-923 (2014) - [c59]Bo Liu, Qin Chen, Qingfu Zhang, Georges G. E. Gielen, Vic Grout:
Behavioral study of the surrogate model-aware evolutionary search framework. IEEE Congress on Evolutionary Computation 2014: 715-722 - [c58]Yexing Li, Xinye Cai, Zhun Fan, Qingfu Zhang:
An external archive guided multiobjective evolutionary approach based on decomposition for continuous optimization. IEEE Congress on Evolutionary Computation 2014: 1124-1130 - [c57]Ahmad Alhindi, Qingfu Zhang:
MOEA/D with Tabu Search for multiobjective permutation flow shop scheduling problems. IEEE Congress on Evolutionary Computation 2014: 1155-1164 - [c56]Liangjun Ke, Huimin Guo, Qingfu Zhang:
A cooperative approach between metaheuristic and branch-and-price for the team orienteering problem with time windows. IEEE Congress on Evolutionary Computation 2014: 1878-1882 - [c55]Zhenkun Wang, Qingfu Zhang, Maoguo Gong, Aimin Zhou:
A replacement strategy for balancing convergence and diversity in MOEA/D. IEEE Congress on Evolutionary Computation 2014: 2132-2139 - [c54]Hui Li, Qingfu Zhang, Jingda Deng:
Multiobjective test problems with complicated Pareto fronts: Difficulties in degeneracy. IEEE Congress on Evolutionary Computation 2014: 2156-2163 - [c53]Ahmad Alhindi, Qingfu Zhang, Edward P. K. Tsang:
Hybridisation of decomposition and GRASP for combinatorial multiobjective optimisation. UKCI 2014: 1-7 - 2013
- [j39]Maoguo Gong, Xiaowei Chen, Lijia Ma, Qingfu Zhang, Licheng Jiao:
Identification of multi-resolution network structures with multi-objective immune algorithm. Appl. Soft Comput. 13(4): 1705-1717 (2013) - [j38]Jianyong Sun, Jonathan M. Garibaldi, Natalio Krasnogor, Qingfu Zhang:
An Intelligent Multi-Restart Memetic Algorithm for Box Constrained Global Optimisation. Evol. Comput. 21(1): 107-147 (2013) - [j37]Liangjun Ke, Qingfu Zhang, Roberto Battiti:
MOEA/D-ACO: A Multiobjective Evolutionary Algorithm Using Decomposition and AntColony. IEEE Trans. Cybern. 43(6): 1845-1859 (2013) - [j36]Dhish Kumar Saxena, João A. Duro, Ashutosh Tiwari, Kalyanmoy Deb, Qingfu Zhang:
Objective Reduction in Many-Objective Optimization: Linear and Nonlinear Algorithms. IEEE Trans. Evol. Comput. 17(1): 77-99 (2013) - [j35]Bo Liu, Qingfu Zhang, Francisco V. Fernández, Georges G. E. Gielen:
An Efficient Evolutionary Algorithm for Chance-Constrained Bi-Objective Stochastic Optimization. IEEE Trans. Evol. Comput. 17(6): 786-796 (2013) - [j34]Alexander E. I. Brownlee, John A. W. McCall, Qingfu Zhang:
Fitness Modeling With Markov Networks. IEEE Trans. Evol. Comput. 17(6): 862-879 (2013) - [c52]Aimin Zhou, Qingfu Zhang, Guixu Zhang:
Approximation Model Guided Selection for Evolutionary Multiobjective Optimization. EMO 2013: 398-412 - [c51]Álvaro Rubio-Largo, Qingfu Zhang, Miguel A. Vega-Rodríguez:
MOEA/D for traffic grooming in WDM optical networks. GECCO 2013: 663-670 - 2012
- [j33]Shih-Hsin Chen, Pei-Chann Chang, T. C. E. Cheng, Qingfu Zhang:
A Self-guided Genetic Algorithm for permutation flowshop scheduling problems. Comput. Oper. Res. 39(7): 1450-1457 (2012) - [j32]Yong Wang, Zixing Cai, Qingfu Zhang:
Enhancing the search ability of differential evolution through orthogonal crossover. Inf. Sci. 185(1): 153-177 (2012) - [j31]Shi-Zheng Zhao, Ponnuthurai Nagaratnam Suganthan, Qingfu Zhang:
Decomposition-Based Multiobjective Evolutionary Algorithm With an Ensemble of Neighborhood Sizes. IEEE Trans. Evol. Comput. 16(3): 442-446 (2012) - [c50]Bo Liu, Qingfu Zhang, Francisco V. Fernández, Georges G. E. Gielen:
Self-adaptive lower confidence bound: A new general and effective prescreening method for Gaussian Process surrogate model assisted evolutionary algorithms. IEEE Congress on Evolutionary Computation 2012: 1-6 - [c49]Aimin Zhou, Qingfu Zhang, Guixu Zhang:
A multiobjective evolutionary algorithm based on decomposition and probability model. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c48]Wei Peng, Qingfu Zhang:
Network Topology Planning Using MOEA/D with Objective-Guided Operators. PPSN (2) 2012: 62-71 - [c47]Hui Li, Xiaolei Su, Zongben Xu, Qingfu Zhang:
MOEA/D with Iterative Thresholding Algorithm for Sparse Optimization Problems. PPSN (2) 2012: 93-101 - [p3]Andrzej Jaszkiewicz, Hisao Ishibuchi, Qingfu Zhang:
Multiobjective Memetic Algorithms. Handbook of Memetic Algorithms 2012: 201-217 - 2011
- [j30]Aimin Zhou, Bo-Yang Qu, Hui Li, Shi-Zheng Zhao, Ponnuthurai Nagaratnam Suganthan, Qingfu Zhang:
Multiobjective evolutionary algorithms: A survey of the state of the art. Swarm Evol. Comput. 1(1): 32-49 (2011) - [j29]Yong Wang, Zixing Cai, Qingfu Zhang:
Differential Evolution With Composite Trial Vector Generation Strategies and Control Parameters. IEEE Trans. Evol. Comput. 15(1): 55-66 (2011) - [c46]Carlos Echegoyen, Qingfu Zhang, Alexander Mendiburu, Roberto Santana, José Antonio Lozano:
On the limits of effectiveness in estimation of distribution algorithms. IEEE Congress on Evolutionary Computation 2011: 1573-1580 - [c45]Dhish Kumar Saxena, Qingfu Zhang, João A. Duro, Ashutosh Tiwari:
Framework for Many-Objective Test Problems with Both Simple and Complicated Pareto-Set Shapes. EMO 2011: 197-211 - [c44]Jingjing Ma, Yanhui Wang, Maoguo Gong, Licheng Jiao, Qingfu Zhang:
Spatio-temporal data evolutionary clustering based on MOEA/D. GECCO (Companion) 2011: 85-86 - [c43]Nasser Tairan, Qingfu Zhang:
P-GLS-II: an enhanced version of the population-based guided local search. GECCO 2011: 537-544 - [c42]Maoguo Gong, Fang Liu, Wei Zhang, Licheng Jiao, Qingfu Zhang:
Interactive MOEA/D for multi-objective decision making. GECCO 2011: 721-728 - [c41]Juan José Durillo, Qingfu Zhang, Antonio J. Nebro, Enrique Alba:
Distribution of Computational Effort in Parallel MOEA/D. LION 2011: 488-502 - 2010
- [j28]Qingfu Zhang:
Reactive Search and Intelligent Optimization (Battiti, R., et al.; 2008) [Book Review]. IEEE Comput. Intell. Mag. 5(1): 59-60 (2010) - [j27]Andreas Konstantinidis, Kun Yang, Qingfu Zhang, Demetrios Zeinalipour-Yazti:
A multi-objective evolutionary algorithm for the deployment and power assignment problem in wireless sensor networks. Comput. Networks 54(6): 960-976 (2010) - [j26]Shih-Hsin Chen, Min-Chih Chen, Pei-Chann Chang, Qingfu Zhang, Yuh-Min Chen:
Guidelines for developing effective Estimation of Distribution Algorithms in solving single machine scheduling problems. Expert Syst. Appl. 37(9): 6441-6451 (2010) - [j25]J. Sun, Qingfu Zhang, J. Li:
Two-level evolutionary approach to the survivable mesh-based transport network topological design. J. Heuristics 16(5): 723-744 (2010) - [j24]Qingfu Zhang, Wudong Liu, Edward P. K. Tsang, Botond Virginas:
Expensive Multiobjective Optimization by MOEA/D With Gaussian Process Model. IEEE Trans. Evol. Comput. 14(3): 456-474 (2010) - [c40]Bashar Awwad Shiekh Hasan, John Q. Gan, Qingfu Zhang:
Multi-objective evolutionary methods for channel selection in Brain-Computer Interfaces: Some preliminary experimental results. IEEE Congress on Evolutionary Computation 2010: 1-6 - [c39]Andreas Konstantinidis, Christoforos Charalambous, Aimin Zhou, Qingfu Zhang:
Multi-objective mobile agent-based Sensor Network Routing using MOEA/D. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c38]Bo Liu, Francisco V. Fernández, Qingfu Zhang, Murat Pak, Suha Sipahi, Georges G. E. Gielen:
An enhanced MOEA/D-DE and its application to multiobjective analog cell sizing. IEEE Congress on Evolutionary Computation 2010: 1-7 - [c37]Nasser Tairan, Qingfu Zhang:
Population-Based Guided Local Search: Some preliminary experimental results. IEEE Congress on Evolutionary Computation 2010: 1-5 - [c36]Qingfu Zhang, Hui Li, Dietmar Maringer, Edward P. K. Tsang:
MOEA/D with NBI-style Tchebycheff approach for portfolio management. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c35]Aimin Zhou, Qingfu Zhang:
A surrogate-assisted evolutionary algorithm for minimax optimization. IEEE Congress on Evolutionary Computation 2010: 1-7
2000 – 2009
- 2009
- [j23]Jingtao Yao, Qingfu Zhang, Jingsheng Lei:
Recent developments in natural computation. Neurocomputing 72(13-15): 2833-2834 (2009) - [j22]Hui Li, Qingfu Zhang:
Multiobjective Optimization Problems With Complicated Pareto Sets, MOEA/D and NSGA-II. IEEE Trans. Evol. Comput. 13(2): 284-302 (2009) - [j21]Aimin Zhou, Qingfu Zhang, Yaochu Jin:
Approximating the Set of Pareto-Optimal Solutions in Both the Decision and Objective Spaces by an Estimation of Distribution Algorithm. IEEE Trans. Evol. Comput. 13(5): 1167-1189 (2009) - [j20]José Antonio Lozano, Qingfu Zhang, Pedro Larrañaga:
Guest Editorial: Special Issue on Evolutionary Algorithms Based on Probabilistic Models. IEEE Trans. Evol. Comput. 13(6): 1197-1198 (2009) - [c34]Qingfu Zhang, Wudong Liu, Hui Li:
The performance of a new version of MOEA/D on CEC09 unconstrained MOP test instances. IEEE Congress on Evolutionary Computation 2009: 203-208 - [c33]Chih-Ming Chen, Ying-Ping Chen, Qingfu Zhang:
Enhancing MOEA/D with guided mutation and priority update for multi-objective optimization. IEEE Congress on Evolutionary Computation 2009: 209-216 - [c32]Alexander E. I. Brownlee, John A. W. McCall, Siddhartha Shakya, Qingfu Zhang:
Structure learning and optimisation in a Markov-network based estimation of distribution algorithm. IEEE Congress on Evolutionary Computation 2009: 447-454 - [c31]Shih-Hsin Chen, Pei-Chann Chang, Qingfu Zhang:
A self-guided genetic algorithm for flowshop scheduling problems. IEEE Congress on Evolutionary Computation 2009: 471-478 - [c30]Wudong Liu, Qingfu Zhang, Edward P. K. Tsang, Botond Virginas:
Fuzzy clustering based Gaussian Process Model for large training set and its application in expensive evolutionary optimization. IEEE Congress on Evolutionary Computation 2009: 2411-2415 - [c29]Andreas Konstantinidis, Qingfu Zhang, Kun Yang:
A Subproblem-dependent Heuristic in MOEA/D for the Deployment and Power Assignment Problem in Wireless Sensor Networks. IEEE Congress on Evolutionary Computation 2009: 2740-2747 - [c28]Andreas Konstantinidis, Kun Yang, Qingfu Zhang, Fernando Gordejuela-Sanchez:
Multiobjective K-Connected Deployment and Power Assignment in WSNs Using Constraint Handling. GLOBECOM 2009: 1-6 - [c27]Andreas Konstantinidis, Kun Yang, Qingfu Zhang:
Problem-Specific Encoding and Genetic Operation for a Multi-Objective Deployment and Power Assignment Problem in Wireless Sensor Networks. ICC 2009: 1-6 - [c26]Yueheng Sun, Jianyong Sun, Qingfu Zhang:
An Evolutionary Approach for Survivable Network under SRLG Constraints. ICNC (4) 2009: 122-126 - 2008
- [j19]Jianyong Sun, Qingfu Zhang, Jin Li, Xin Yao:
A Hybrid Estimation of Distribution Algorithm for CDMA Cellular System Design. Int. J. Comput. Intell. Appl. 7(2): 187-200 (2008) - [j18]Deyu Meng, Yee Leung, Zongben Xu, Tung Fung, Qingfu Zhang:
Improving geodesic distance estimation based on locally linear assumption. Pattern Recognit. Lett. 29(7): 862-870 (2008) - [j17]Qingfu Zhang, Aimin Zhou, Yaochu Jin:
RM-MEDA: A Regularity Model-Based Multiobjective Estimation of Distribution Algorithm. IEEE Trans. Evol. Comput. 12(1): 41-63 (2008) - [j16]Qingfu Zhang, Aimin Zhou, Yaochu Jin:
Errata to "RM-MEDA: A Regularity Model-Based Multiobjective Estimation of Distribution Algorithm" [Feb 08 41-63]. IEEE Trans. Evol. Comput. 12(3): 392 (2008) - [c25]Pei-Chann Chang, Shih-Hsin Chen, Qingfu Zhang, Jun-Lin Lin:
MOEA/D for flowshop scheduling problems. IEEE Congress on Evolutionary Computation 2008: 1433-1438 - [c24]Aimin Zhou, Qingfu Zhang, Yaochu Jin, Bernhard Sendhoff:
Combination of EDA and DE for continuous biobjective optimization. IEEE Congress on Evolutionary Computation 2008: 1447-1454 - [c23]Alexander E. I. Brownlee, John A. W. McCall, Qingfu Zhang, Deryck Forsyth Brown:
Approaches to selection and their effect on fitness modelling in an Estimation of Distribution Algorithm. IEEE Congress on Evolutionary Computation 2008: 2621-2628 - [c22]Wudong Liu, Qingfu Zhang, Edward P. K. Tsang, Botond Virginas:
Tchebycheff approximation in Gaussian Process model composition for multi-objective expensive black box. IEEE Congress on Evolutionary Computation 2008: 3060-3065 - [c21]Andreas Konstantinidis, Kun Yang, Qingfu Zhang:
An Evolutionary Algorithm to a Multi-Objective Deployment and Power Assignment Problem in Wireless Sensor Networks. GLOBECOM 2008: 475-480 - [c20]Wei Peng, Qingfu Zhang:
A Decomposition-based Multi-objective Particle Swarm Optimization Algorithm for Continuous Optimization Problems. GrC 2008: 534-537 - [c19]Shih-Hsin Chen, Pei-Chann Chang, Qingfu Zhang:
Self-Guided Genetic Algorithm. ICIC (2) 2008: 292-299 - [p2]Yaochu Jin, Aimin Zhou, Qingfu Zhang, Bernhard Sendhoff, Edward P. K. Tsang:
Modeling Regularity to Improve Scalability of Model-Based Multiobjective Optimization Algorithms. Multiobjective Problem Solving from Nature 2008: 331-355 - 2007
- [j15]Andreas Konstantinidis, Kun Yang, Hsiao-Hwa Chen, Qingfu Zhang:
Energy-aware topology control for wireless sensor networks using memetic algorithms. Comput. Commun. 30(14-15): 2753-2764 (2007) - [j14]Qingfu Zhang, Jianyong Sun, Edward P. K. Tsang:
Combinations of estimation of distribution algorithms and other techniques. Int. J. Autom. Comput. 4(3): 273-280 (2007) - [j13]Qingfu Zhang, Hui Li:
MOEA/D: A Multiobjective Evolutionary Algorithm Based on Decomposition. IEEE Trans. Evol. Comput. 11(6): 712-731 (2007) - [j12]Qingfu Zhang, Jianyong Sun, Gaoxi Xiao, Edward P. K. Tsang:
Evolutionary Algorithms Refining a Heuristic: A Hybrid Method for Shared-Path Protections in WDM Networks Under SRLG Constraints. IEEE Trans. Syst. Man Cybern. Part B 37(1): 51-61 (2007) - [c18]Aimin Zhou, Qingfu Zhang, Yaochu Jin, Bernhard Sendhoff:
Adaptivemodelling strategy for continuous multi-objective optimization. IEEE Congress on Evolutionary Computation 2007: 431-437 - [c17]Aimin Zhou, Yaochu Jin, Qingfu Zhang, Bernhard Sendhoff, Edward P. K. Tsang:
Prediction-Based Population Re-initialization for Evolutionary Dynamic Multi-objective Optimization. EMO 2007: 832-846 - [c16]Abdellah Salhi, José Antonio Vázquez Rodríguez, Qingfu Zhang:
An estimation of distribution algorithm with guided mutation for a complex flow shop scheduling problem. GECCO 2007: 570-576 - [c15]Aimin Zhou, Qingfu Zhang, Yaochu Jin, Bernhard Sendhoff, Edward P. K. Tsang:
Global multiobjective optimization via estimation of distribution algorithm with biased initialization and crossover. GECCO 2007: 617-623 - [c14]Wudong Liu, Qingfu Zhang, Edward P. K. Tsang, Cao Liu, Botond Virginas:
On the Performance of Metamodel Assisted MOEA/D. ISICA 2007: 547-557 - [e5]Jingsheng Lei, JingTao Yao, Qingfu Zhang:
Third International Conference on Natural Computation, ICNC 2007, Haikou, Hainan, China, 24-27 August 2007, Volume 1. IEEE Computer Society 2007 [contents] - [e4]Jingsheng Lei, JingTao Yao, Qingfu Zhang:
Third International Conference on Natural Computation, ICNC 2007, Haikou, Hainan, China, 24-27 August 2007, Volume 2. IEEE Computer Society 2007 [contents] - [e3]Jingsheng Lei, JingTao Yao, Qingfu Zhang:
Third International Conference on Natural Computation, ICNC 2007, Haikou, Hainan, China, 24-27 August 2007, Volume 3. IEEE Computer Society 2007 [contents] - [e2]Jingsheng Lei, JingTao Yao, Qingfu Zhang:
Third International Conference on Natural Computation, ICNC 2007, Haikou, Hainan, China, 24-27 August 2007, Volume 4. IEEE Computer Society 2007 [contents] - [e1]Jingsheng Lei, JingTao Yao, Qingfu Zhang:
Third International Conference on Natural Computation, ICNC 2007, Haikou, Hainan, China, 24-27 August 2007, Volume 5. IEEE Computer Society 2007 [contents] - 2006
- [j11]Qingfu Zhang:
Knowledge Incorporation in Evolutionary Computation [Book Review]. IEEE Comput. Intell. Mag. 1(4): 58-59 (2006) - [c13]Elias Tsirogiannis, Georgios Theodoropoulos, D. Chen, Qingfu Zhang, Lilian Janin, Doug Edwards:
A Framework for Distributed Simulation of Asynchronous Handshake Circuits. Annual Simulation Symposium 2006: 214-222 - [c12]Aimin Zhou, Yaochu Jin, Qingfu Zhang, Bernhard Sendhoff, Edward P. K. Tsang:
Combining Model-based and Genetics-based Offspring Generation for Multi-objective Optimization Using a Convergence Criterion. IEEE Congress on Evolutionary Computation 2006: 892-899 - [c11]Qingfu Zhang, Jianyong Sun:
Iterated Local Search with Guided Mutation. IEEE Congress on Evolutionary Computation 2006: 924-929 - [c10]Andreas Konstantinidis, Qingfu Zhang, Kun Yang, Ian Henning:
Energy-aware Topology Control in Sensor Networks Using Modern Heuristics. GLOBECOM 2006 - [c9]Aimin Zhou, Qingfu Zhang, Yaochu Jin, Bernhard Sendhoff, Edward P. K. Tsang:
Modelling the Population Distribution in Multi-objective Optimization by Generative Topographic Mapping. PPSN 2006: 443-452 - [c8]Hui Li, Qingfu Zhang:
A Multiobjective Differential Evolution Based on Decomposition for Multiobjective Optimization with Variable Linkages. PPSN 2006: 583-592 - [c7]Jianyong Sun, Qingfu Zhang, Jin Li, Xin Yao:
A Hybrid Estimation of Distribution Algorithm for CDMA Cellular System Design. SEAL 2006: 905-912 - [p1]Qingfu Zhang, Jianyong Sun, Edward P. K. Tsang, John A. Ford:
Estimation of Distribution Algorithm with 2-opt Local Search for the Quadratic Assignment Problem. Towards a New Evolutionary Computation 2006: 281-292 - 2005
- [j10]Jianyong Sun, Qingfu Zhang, Edward P. K. Tsang:
DE/EDA: A new evolutionary algorithm for global optimization. Inf. Sci. 169(3-4): 249-262 (2005) - [j9]Qingfu Zhang, Jianyong Sun, Edward P. K. Tsang:
An evolutionary algorithm with guided mutation for the maximum clique problem. IEEE Trans. Evol. Comput. 9(2): 192-200 (2005) - [c6]Aimin Zhou, Qingfu Zhang, Yaochu Jin, Edward P. K. Tsang, Tatsuya Okabe:
A model-based evolutionary algorithm for bi-objective optimization. Congress on Evolutionary Computation 2005: 2568-2575 - [c5]J. Horacio Camacho, Abdellah Salhi, Qingfu Zhang:
A Graph Theoretic Approach to Key Equivalence. MICAI 2005: 524-533 - 2004
- [j8]Qingfu Zhang:
On the convergence of a factorized distribution algorithm with truncation selection. Complex. 9(4): 17-23 (2004) - [j7]Qingfu Zhang:
On stability of fixed points of limit models of univariate marginal distribution algorithm and factorized distribution algorithm. IEEE Trans. Evol. Comput. 8(1): 80-93 (2004) - [j6]Qingfu Zhang, Heinz Mühlenbein:
On the convergence of a class of estimation of distribution algorithms. IEEE Trans. Evol. Comput. 8(2): 127-136 (2004) - [c4]Jun He, Xin Yao, Qingfu Zhang:
To understand one-dimensional continuous fitness landscapes by drift analysis. IEEE Congress on Evolutionary Computation 2004: 1248-1253 - [c3]Hui Li, Qingfu Zhang, Edward P. K. Tsang, John A. Ford:
Hybrid Estimation of Distribution Algorithm for Multiobjective Knapsack Problem. EvoCOP 2004: 145-154 - 2003
- [j5]Qingfu Zhang:
On the discrete-time dynamics of a PCA learning algorithm. Neurocomputing 55(3-4): 761-769 (2003) - 2000
- [j4]Qingfu Zhang, Yiu-Wing Leung:
A class of learning algorithms for principal component analysis and minor component analysis. IEEE Trans. Neural Networks Learn. Syst. 11(1): 200-204 (2000) - [j3]Qingfu Zhang, Yiu-Wing Leung:
A class of learning algorithms for principal component analysis and minor component analysis. IEEE Trans. Neural Networks Learn. Syst. 11(2): 529-533 (2000) - [c2]Qingfu Zhang, Hujun Yin, Nigel M. Allinson:
A Simplified ICA Based Denoising Method. IJCNN (5) 2000: 479-482
1990 – 1999
- 1999
- [j2]Qingfu Zhang, Yiu-Wing Leung:
An orthogonal genetic algorithm for multimedia multicast routing. IEEE Trans. Evol. Comput. 3(1): 53-62 (1999) - 1996
- [c1]Shaoyan Wu, Qingfu Zhang, Huowang Chen:
A New Evolutionary Model Based on Family Eugenics: the First Results. International Conference on Evolutionary Computation 1996: 350-355 - 1995
- [j1]Qingfu Zhang, Yiu-Wing Leung:
Energy function for the one-unit Oja algorithm. IEEE Trans. Neural Networks 6(5): 1291-1293 (1995)
Coauthor Index
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