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2020 – today
- 2020
[j35]Calvin Chi-Wan Lim, Xiaofeng Yin, Tianyou Zhang, Senthil Kumar Selvaraj, Yi Su, Chi-Keong Goh
, Alejandro Moreno, Shahrokh Shahpar:
Towards Automatic Blocking of Shapes using Evolutionary Algorithm. Comput. Aided Des. 120: 102798 (2020)
2010 – 2019
- 2019
- [j34]Alan Tan Wei Min, Yew-Soon Ong, Abhishek Gupta, Chi Keong Goh:
Multiproblem Surrogates: Transfer Evolutionary Multiobjective Optimization of Computationally Expensive Problems. IEEE Trans. Evol. Comput. 23(1): 15-28 (2019) - [j33]Pengfei Wei, Yiping Ke, Chi Keong Goh:
A General Domain Specific Feature Transfer Framework for Hybrid Domain Adaptation. IEEE Trans. Knowl. Data Eng. 31(8): 1440-1451 (2019) - [j32]Pengfei Wei, Yiping Ke, Chi Keong Goh:
Feature Analysis of Marginalized Stacked Denoising Autoenconder for Unsupervised Domain Adaptation. IEEE Trans. Neural Networks Learn. Syst. 30(5): 1321-1334 (2019) - [j31]Yan Chao Wang, Qian Zhang, Feng Lin, Chi-Keong Goh, Hock Soon Seah:
PolarViz: a discriminating visualization and visual analytics tool for high-dimensional data. Vis. Comput. 35(11): 1567-1582 (2019) - 2018
- [j30]Rohitash Chandra, Yew-Soon Ong, Chi-Keong Goh:
Co-evolutionary multi-task learning for dynamic time series prediction. Appl. Soft Comput. 70: 576-589 (2018) - [j29]Rohitash Chandra, Abhishek Gupta, Yew-Soon Ong, Chi-Keong Goh:
Evolutionary Multi-task Learning for Modular Knowledge Representation in Neural Networks. Neural Process. Lett. 47(3): 993-1009 (2018) - [j28]Pin Lim, Chi Keong Goh, Kay Chen Tan:
A Novel Time Series-Histogram of Features (TS-HoF) Method for Prognostic Applications. IEEE Trans. Emerg. Top. Comput. Intell. 2(3): 204-213 (2018) - [c33]Yanzhu Liu, Adams Wai-Kin Kong, Chi Keong Goh:
A Constrained Deep Neural Network for Ordinal Regression. CVPR 2018: 831-839 - [c32]Zhao Xu, Jinwen Hu, Changhua Hu, Sivakumar Nadarajan, Chi-Keong Goh, Amit Gupta:
Data-Driven Fault Detection of Electrical Machine. ICARCV 2018: 515-520 - [c31]Chi-Wan Lim, Xiaofeng Yin, Tianyou Zhang, Yi Su, Chi-Keong Goh, Alejandro Moreno, Shahrokh Shahpar:
Automatic Blocking of Shapes Using Evolutionary Algorithm. IMR 2018: 169-188 - 2017
- [j27]Zhao Xu, Changhua Hu, Feng Yang, Shyh-Hao Kuo, Chi-Keong Goh, Amit Gupta, Sivakumar Nadarajan:
Data-Driven Inter-Turn Short Circuit Fault Detection in Induction Machines. IEEE Access 5: 25055-25068 (2017) - [j26]Alan Tan Wei Min, Ramón Sagarna, Abhishek Gupta, Yew-Soon Ong, Chi Keong Goh:
Knowledge Transfer Through Machine Learning in Aircraft Design. IEEE Comput. Intell. Mag. 12(4): 48-60 (2017) - [j25]Rohitash Chandra, Yew-Soon Ong, Chi-Keong Goh:
Co-evolutionary multi-task learning with predictive recurrence for multi-step chaotic time series prediction. Neurocomputing 243: 21-34 (2017) - [j24]Pin Lim, Chi Keong Goh, Kay Chen Tan:
Evolutionary Cluster-Based Synthetic Oversampling Ensemble (ECO-Ensemble) for Imbalance Learning. IEEE Trans. Cybern. 47(9): 2850-2861 (2017) - [j23]Pin Lim, Chi Keong Goh, Kay Chen Tan, Partha Sarathi Dutta:
Multimodal Degradation Prognostics Based on Switching Kalman Filter Ensemble. IEEE Trans. Neural Networks Learn. Syst. 28(1): 136-148 (2017) - [c30]Yan-Chao Wang, Qian Zhang, Feng Lin, Chi-Keong Goh, Xuan Wang, Hock Soon Seah:
Histogram equalization and specification for high-dimensional data visualization using RadViz. CGI 2017: 15:1-15:6 - [c29]Pengfei Wei, Yiping Ke, Chi-Keong Goh:
Domain Specific Feature Transfer for Hybrid Domain Adaptation. ICDM 2017: 1027-1032 - [c28]Pengfei Wei, Ramón Sagarna, Yiping Ke, Yew-Soon Ong, Chi-Keong Goh:
Source-Target Similarity Modelings for Multi-Source Transfer Gaussian Process Regression. ICML 2017: 3722-3731 - [c27]Yanzhu Liu, Adams Wai-Kin Kong, Chi Keong Goh:
Deep Ordinal Regression Based on Data Relationship for Small Datasets. IJCAI 2017: 2372-2378 - [c26]Woon Huei Chai, Shen-Shyang Ho, Chi-Keong Goh, Liang-Tien Chia, Hiok Chai Quek:
A fast sparse reconstruction approach for high resolution image-based object surface anomaly detection. MVA 2017: 13-16 - [i1]Rohitash Chandra, Yew-Soon Ong, Chi-Keong Goh:
Co-evolutionary multi-task learning for dynamic time series prediction. CoRR abs/1703.01887 (2017) - 2016
- [j22]Dudy Lim, Yew-Soon Ong, Abhishek Gupta, Chi Keong Goh, Partha Sarathi Dutta:
Towards a new Praxis in optinformatics targeting knowledge re-use in evolutionary computation: simultaneous problem learning and optimization. Evol. Intell. 9(4): 203-220 (2016) - [c25]Abhishek Gupta, Yew-Soon Ong, Piaras A. Kelly, Chi-Keong Goh:
Pareto rank learning for multi-objective bi-level optimization: A study in composites manufacturing. CEC 2016: 1940-1947 - [c24]Woon Huei Chai, Shen-Shyang Ho, Chi-Keong Goh:
Exploiting sparsity for image-based object surface anomaly detection. ICASSP 2016: 1986-1990 - [c23]Rohitash Chandra, Abhishek Gupta, Yew-Soon Ong, Chi Keong Goh:
Evolutionary Multi-task Learning for Modular Training of Feedforward Neural Networks. ICONIP (2) 2016: 37-46 - [c22]Pengfei Wei, Yiping Ke, Chi Keong Goh:
Deep Nonlinear Feature Coding for Unsupervised Domain Adaptation. IJCAI 2016: 2189-2195 - [c21]Pin Lim, Chi Keong Goh, Kay Chen Tan:
A time window neural network based framework for Remaining Useful Life estimation. IJCNN 2016: 1746-1753 - [c20]Yanzhu Liu, Xiaojie Li, Adams Wai-Kin Kong, Chi Keong Goh:
Learning from small data: A pairwise approach for ordinal regression. SSCI 2016: 1-6 - 2015
- [c19]Hui Xi, Chi Keong Goh, Partha Sarathi Dutta, Meng Sha, Jie Zhang:
An Agent-based Simulation System for Dynamic Project Scheduling and Online Disruption Resolving. AAMAS 2015: 1759-1760 - 2014
- [c18]Rubing Duan, Rick Siow Mong Goh, Lily Rachmawati, Long Wang, Henry Novianus Palit, Xiaorong Li, Chi Keong Goh, Partha Sarathi Dutta, Leigh Lapworth, David Knott:
An Efficient Co-processing Framework for Large-Scale Scientific Applications. CloudCom 2014: 254-261 - 2012
- [j21]Chi Keong Goh, Ferrante Neri:
Computational intelligence optimisation in the presence of uncertainties. Int. J. Syst. Sci. 43(7): 1191-1192 (2012) - [j20]Jun Yong Chia, Chi Keong Goh, Vui Ann Shim, Kay Chen Tan:
A data mining approach to evolutionary optimisation of noisy multi-objective problems. Int. J. Syst. Sci. 43(7): 1217-1247 (2012) - 2011
- [j19]Jun Yong Chia, Chi Keong Goh, Kay Chen Tan, Vui Ann Shim:
Memetic informed evolutionary optimization via data mining. Memetic Comput. 3(2): 73-87 (2011) - [c17]Chi Keong Goh, Dudy Lim, Learning Ma, Yew-Soon Ong, Partha Sarathi Dutta:
A surrogate-assisted memetic co-evolutionary algorithm for expensive constrained optimization problems. IEEE Congress on Evolutionary Computation 2011: 744-749 - 2010
- [j18]Chi Keong Goh, Kay Chen Tan, D. S. Liu, Swee Chiang Chiam:
A competitive and cooperative co-evolutionary approach to multi-objective particle swarm optimization algorithm design. Eur. J. Oper. Res. 202(1): 42-54 (2010) - [j17]Chi Keong Goh, Kay Chen Tan, Chun Yew Cheong, Yew-Soon Ong:
An investigation on noise-induced features in robust evolutionary multi-objective optimization. Expert Syst. Appl. 37(8): 5960-5980 (2010) - [j16]Wee Tat Koo, Chi Keong Goh, Kay Chen Tan:
A predictive gradient strategy for multiobjective evolutionary algorithms in a fast changing environment. Memetic Comput. 2(2): 87-110 (2010) - [e1]Cecilia Di Chio, Stefano Cagnoni, Carlos Cotta, Marc Ebner, Anikó Ekárt, Anna Esparcia-Alcázar, Chi Keong Goh, Juan Julián Merelo Guervós, Ferrante Neri, Mike Preuss, Julian Togelius, Georgios N. Yannakakis:
Applications of Evolutionary Computation, EvoApplicatons 2010: EvoCOMPLEX, EvoGAMES, EvoIASP, EvoINTELLIGENCE, EvoNUM, and EvoSTOC, Istanbul, Turkey, April 7-9, 2010, Proceedings, Part I. Lecture Notes in Computer Science 6024, Springer 2010, ISBN 978-3-642-12238-5 [contents]
2000 – 2009
- 2009
- [b1]Chi Keong Goh, Kay Chen Tan:
Evolutionary Multi-objective Optimization in Uncertain Environments - Issues and Algorithms. Studies in Computational Intelligence 186, Springer 2009, ISBN 978-3-540-95975-5, pp. 1-251 [contents] - [j15]Kay Chen Tan, Swee Chiang Chiam, Abdullah Al Mamun, Chi Keong Goh:
Balancing exploration and exploitation with adaptive variation for evolutionary multi-objective optimization. Eur. J. Oper. Res. 197(2): 701-713 (2009) - [j14]Chi Keong Goh, Eu Jin Teoh, Kay Chen Tan:
A hybrid evolutionary approach for heterogeneous multiprocessor scheduling. Soft Comput. 13(8-9): 833-846 (2009) - [j13]Chi Keong Goh, Kay Chen Tan:
A Competitive-Cooperative Coevolutionary Paradigm for Dynamic Multiobjective Optimization. IEEE Trans. Evol. Comput. 13(1): 103-127 (2009) - [j12]Hanyang Quek, Kay Chen Tan, Chi Keong Goh, Hussein A. Abbass:
Evolution and Incremental Learning in the Iterated Prisoner's Dilemma. IEEE Trans. Evol. Comput. 13(2): 303-320 (2009) - 2008
- [j11]Kay Chen Tan, Chi Keong Goh, Abdullah Al Mamun, E. Z. Ei:
An evolutionary artificial immune system for multi-objective optimization. Eur. J. Oper. Res. 187(2): 371-392 (2008) - [j10]D. S. Liu, Kay Chen Tan, S. Y. Huang, Chi Keong Goh, Weng Khuen Ho:
On solving multiobjective bin packing problems using evolutionary particle swarm optimization. Eur. J. Oper. Res. 190(2): 357-382 (2008) - [j9]Eu Jin Teoh, Kay Chen Tan, Huajin Tang, Cheng Xiang, Chi Keong Goh:
An asynchronous recurrent linear threshold network approach to solving the traveling salesman problem. Neurocomputing 71(7-9): 1359-1372 (2008) - [j8]Chi Keong Goh, Eu Jin Teoh, Kay Chen Tan:
Hybrid Multiobjective Evolutionary Design for Artificial Neural Networks. IEEE Trans. Neural Networks 19(9): 1531-1548 (2008) - [j7]Swee Chiang Chiam, Kay Chen Tan, Chi Keong Goh, Abdullah Al Mamun:
Improving Locality in Binary Representation via Redundancy. IEEE Trans. Syst. Man Cybern. Part B 38(3): 808-825 (2008) - [c16]Boyang Li, Yew-Soon Ong, Minh Nghia Le, Chi Keong Goh:
Memetic Gradient Search. IEEE Congress on Evolutionary Computation 2008: 2894-2901 - [c15]Chi Keong Goh, Yew-Soon Ong, Kay Chen Tan, Eu Jin Teoh:
An investigation on evolutionary gradient search for multi-objective optimization. IEEE Congress on Evolutionary Computation 2008: 3741-3746 - [c14]Kay Chen Tan, Chi Keong Goh:
Handling Uncertainties in Evolutionary Multi-Objective Optimization. WCCI 2008: 262-292 - 2007
- [j6]Kay Chen Tan, Chun Yew Cheong, Chi Keong Goh:
Solving multiobjective vehicle routing problem with stochastic demand via evolutionary computation. Eur. J. Oper. Res. 177(2): 813-839 (2007) - [j5]Chi Keong Goh, Kay Chen Tan:
An Investigation on Noisy Environments in Evolutionary Multiobjective Optimization. IEEE Trans. Evol. Comput. 11(3): 354-381 (2007) - [j4]Dasheng Liu, Kay Chen Tan, Chi Keong Goh, Weng Khuen Ho:
A Multiobjective Memetic Algorithm Based on Particle Swarm Optimization. IEEE Trans. Syst. Man Cybern. Part B 37(1): 42-50 (2007) - [c13]Chi Keong Goh, Kay Chen Tan, Arthur Tay:
A Competitive-Cooperation Coevolutionary Paradigm for Multi-objective Optimization. ISIC 2007: 255-260 - [c12]Chi Keong Goh, Kay Chen Tan, Chun Yew Cheong, Yew-Soon Ong:
Noise-induced features in robust multi-objective optimization problems. IEEE Congress on Evolutionary Computation 2007: 568-575 - [c11]Ji Hua Ang, Chi Keong Goh, Eu Jin Teoh, Abdullah Al Mamun:
Multi-objective evolutionary Recurrent Neural Networks for system identification. IEEE Congress on Evolutionary Computation 2007: 1586-1592 - [c10]C. H. Tan, Chi Keong Goh, Kay Chen Tan, Arthur Tay:
A cooperative coevolutionary algorithm for multiobjective particle swarm optimization. IEEE Congress on Evolutionary Computation 2007: 3180-3186 - [c9]Hanyang Quek, Chi Keong Goh:
Adaptation of Iterated Prisoner's Dilemma Strategies by Evolution and Learning. CIG 2007: 40-47 - [c8]Swee Chiang Chiam, Chi Keong Goh, Kay Chen Tan:
Adequacy of Empirical Performance Assessment for Multiobjective Evolutionary Optimizer. EMO 2007: 893-907 - [c7]Chun Yew Cheong, Swee Chiang Chiam, Chi Keong Goh:
Eliminating Positional Dependency in Binary Representation via Redundancy. FOCI 2007: 251-258 - [p3]Ji Hua Ang, Chi Keong Goh, Eu Jin Teoh, Kay Chen Tan:
Designing a Recurrent Neural Network-based Controller for Gyro-Mirror Line-of-Sight Stabilization System using an Artificial Immune Algorithm. Advances in Evolutionary Computing for System Design 2007: 189-209 - [p2]Chi Keong Goh, Wei Ling Lim, Yong Han Chew, Kay Chen Tan:
A Multi-Objective Evolutionary Algorithm for Channel Routing Problems. Evolutionary Scheduling 2007: 405-436 - [p1]Chi Keong Goh, Kay Chen Tan:
Evolving the Tradeoffs between Pareto-Optimality and Robustness in Multi-Objective Evolutionary Algorithms. Evolutionary Computation in Dynamic and Uncertain Environments 2007: 457-478 - 2006
- [j3]Kay Chen Tan, Chi Keong Goh, Y. J. Yang, Tong Heng Lee:
Evolving better population distribution and exploration in evolutionary multi-objective optimization. Eur. J. Oper. Res. 171(2): 463-495 (2006) - [j2]Kay Chen Tan, Y. J. Yang, Chi Keong Goh:
A distributed Cooperative coevolutionary algorithm for multiobjective optimization. IEEE Trans. Evol. Comput. 10(5): 527-549 (2006) - [c6]Chi Keong Goh, Kay Chen Tan:
Noise Handling in Evolutionary Multi-Objective Optimization. IEEE Congress on Evolutionary Computation 2006: 1354-1361 - [c5]Chi Keong Goh, Hanyang Quek, Kay Chen Tan, Hussein A. Abbass:
Modeling Civil Violence: An Evolutionary Multi-Agent, Game Theoretic Approach. IEEE Congress on Evolutionary Computation 2006: 1624-1631 - [c4]Dasheng Liu, Kay Chen Tan, Chi Keong Goh, Weng Khuen Ho:
On Solving Multiobjective Bin Packing Problems Using Particle Swarm Optimization. IEEE Congress on Evolutionary Computation 2006: 2095-2102 - 2005
- [j1]Eik Fun Khor, Kay Chen Tan, Tong Heng Lee, Chi Keong Goh:
A Study on Distribution Preservation Mechanism in Evolutionary Multi-Objective Optimization. Artif. Intell. Rev. 23(1): 31-33 (2005) - [c3]Eu Jin Teoh, Swee Chiang Chiam, Chi Keong Goh, Kay Chen Tan:
Adapting evolutionary dynamics of variation for multi-objective optimization. Congress on Evolutionary Computation 2005: 1290-1297 - [c2]Chi Keong Goh, Hanyang Quek, Eu Jin Teoh, Kay Chen Tan:
Evolution and incremental learning in the iterative prisoner's dilemma. Congress on Evolutionary Computation 2005: 2629-2636 - 2003
- [c1]Kay Chen Tan, Y. J. Yang, Chi Keong Goh, Tong Heng Lee:
Enhanced distribution and exploration for multiobjective evolutionary algorithms. IEEE Congress on Evolutionary Computation 2003: 2521-2528
Coauthor Index
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