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ORCID18th PPSN 2024: Hagenberg, Austria - Part I
- Michael Affenzeller
, Stephan M. Winkler, Anna V. Kononova, Heike Trautmann, Tea Tusar, Penousal Machado, Thomas Bäck:
Parallel Problem Solving from Nature - PPSN XVIII - 18th International Conference, PPSN 2024, Hagenberg, Austria, September 14-18, 2024, Proceedings, Part I. Lecture Notes in Computer Science 15148, Springer 2024, ISBN 978-3-031-70054-5
Combinatorial Optimization
- Adrian Petrovan, Petrica C. Pop, Cosmin Sabo:
On the Design of Diploid Memetic Algorithms for Solving the Multidimensional Multi-way Number Partitioning Problem. 3-19 - Xiankun Yan, Aneta Neumann, Frank Neumann:
Sliding Window Bi-objective Evolutionary Algorithms for Optimizing Chance-Constrained Monotone Submodular Functions. 20-35 - Saining Liu, João Guilherme Cavalcanti Costa, Yi Mei, Mengjie Zhang:
GPGLS: Genetic Programming Guided Local Search for Large-Scale Vehicle Routing Problems. 36-51 - Francisco Chicano, Darrell Whitley, Gabriela Ochoa, Renato Tinós:
Generalizing and Unifying Gray-Box Combinatorial Optimization Operators. 52-67 - Maria N. Anastasiadou, Michalis Mavrovouniotis, Diofantos G. Hadjimitsis:
Ant Colony Optimization for the Dynamic Electric Vehicle Routing Problem. 68-84 - Tristan Cazenave:
Learning a Prior for Monte Carlo Search by Replaying Solutions to Combinatorial Problems. 85-99 - Jonathan Heins, Lennart Schäpermeier, Pascal Kerschke, Darrell Whitley:
Dancing to the State of the Art? - How Candidate Lists Influence LKH for Solving the Traveling Salesperson Problem. 100-115 - Kokila Kasuni Perera, Frank Neumann, Aneta Neumann:
Multi-objective Evolutionary Approaches for the Knapsack Problem with Stochastic Profits. 116-132 - Han Zhang, Qing Li, Xin Yao:
Knowledge-Guided Optimization for Complex Vehicle Routing with 3D Loading Constraints. 133-148
Genetic Programming
- Henning Cui, Michael Heider, Jörg Hähner:
Positional Bias Does Not Influence Cartesian Genetic Programming with Crossover. 151-167 - Julia Reuter, Viktor Martinek, Roland Herzog, Sanaz Mostaghim:
Unit-Aware Genetic Programming for the Development of Empirical Equations. 168-183 - Marko Durasevic, Mateja Dumic, Francisco Javier Gil Gala, Nikolina Frid, Domagoj Jakobovic:
Improving the Performance of Relocation Rules for the Container Relocation Problem with the Rollout Algorithm. 184-200 - Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang:
P-Mixup: Improving Generalization Performance of Evolutionary Feature Construction with Pessimistic Vicinal Risk Minimization. 201-220 - Jinglu Song, Qiang Lu, Bozhou Tian, Jingwen Zhang, Jake Luo, Zhiguang Wang:
Symbol Graph Genetic Programming for Symbolic Regression. 221-237 - Johannes Koch, Tanja Alderliesten, Peter A. N. Bosman:
Simultaneous Model-Based Evolution of Constants and Expression Structure in GP-GOMEA for Symbolic Regression. 238-255 - Yuri Lavinas, Nathan Haut, William Punch, Wolfgang Banzhaf, Sylvain Cussat-Blanc:
Adaptive Sampling of Biomedical Images with Cartesian Genetic Programming. 256-272 - Gabriel Kronberger, Fabrício Olivetti de França, Harry Desmond, Deaglan J. Bartlett, Lukas Kammerer:
The Inefficiency of Genetic Programming for Symbolic Regression. 273-289 - Miguel Rabuge, Nuno Lourenço:
Decision Tree Based Wrappers for Hearing Loss. 290-305 - Camilo De La Torre, Yuri Lavinas, Kévin Cortacero, Hervé Luga, Dennis G. Wilson, Sylvain Cussat-Blanc:
Multimodal Adaptive Graph Evolution for Program Synthesis. 306-321 - Christopher Crary, Bogdan Burlacu, Wolfgang Banzhaf:
Enhancing the Computational Efficiency of Genetic Programming Through Alternative Floating-Point Primitives. 322-339
Fitness Landscape Modeling and Analysis
- Gabriela Ochoa, Arnaud Liefooghe, Sébastien Vérel:
Funnels in Multi-objective Fitness Landscapes. 343-359 - Arnaud Liefooghe, Ryoji Tanabe, Sébastien Vérel:
Contrasting the Landscapes of Feature Selection Under Different Machine Learning Models. 360-376 - Sarah L. Thomson, Gabriela Ochoa, Daan van den Berg, Tianyu Liang, Thomas Weise:
Entropy, Search Trajectories, and Explainability for Frequency Fitness Assignment. 377-392 - Darrell Whitley, Gabriela Ochoa, Francisco Chicano:
Over Sampling Local Optima: Selection and Sampling Bias in Hybrid Genetic Algorithms. 393-408 - Xavier F. C. Sánchez-Díaz, Corentin Masson, Ole Jakob Mengshoel:
Regularized Feature Selection Landscapes: An Empirical Study of Multimodality. 409-426
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