| 2024 | Adaptive Sampling of Biomedical Images with Cartesian Genetic Programming. | Yuri Lavinas, Nathan Haut, William Punch, Wolfgang Banzhaf, Sylvain Cussat-Blanc |
| 2024 | Performance Comparison of Surrogate-Assisted Evolutionary Algorithms on Computational Fluid Dynamics Problems. | Jakub Kudela, Ladislav Dobrovsky |
| 2024 | The Inefficiency of Genetic Programming for Symbolic Regression. | Gabriel Kronberger, Fabrcio Olivetti de Frana, Harry Desmond, Deaglan J. Bartlett, Lukas Kammerer |
| 2024 | Simultaneous Model-Based Evolution of Constants and Expression Structure in GP-GOMEA for Symbolic Regression. | Johannes Koch, Tanja Alderliesten, Peter A. N. Bosman |
| 2024 | Exploring Proprioceptive Feedback in the Evolution of Modular Robots. | Babak Hosseinkhani Kargar, Karine Miras, A. E. Eiben |
| 2024 | Multi-objective Random Bit Climbers with Weighted Permutation on Large Scale Binary MNK-Landscapes. | Felipe Honjo Ide, Hernn E. Aguirre, Kiyoshi Tanaka |
| 2024 | Dancing to the State of the Art? - How Candidate Lists Influence LKH for Solving the Traveling Salesperson Problem. | Jonathan Heins, Lennart Schpermeier, Pascal Kerschke, Darrell Whitley |
| 2024 | Evaluating the Robustness of Deep-Learning Algorithm-Selection Models by Evolving Adversarial Instances. | Emma Hart, Quentin Renau, Kevin Sim, Mohamad Alissa |
| 2024 | Analysis of Evolutionary Diversity Optimisation for the Maximum Matching Problem. | Jonathan Gadea Harder, Aneta Neumann, Frank Neumann |
| 2024 | Natural Gradient Interpretation of Rank-One Update in CMA-ES. | Ryoki Hamano, Shinichi Shirakawa, Masahiro Nomura |
| 2024 | Learning Discretized Bayesian Networks with GOMEA. | Damy M. F. Ha, Tanja Alderliesten, Peter A. N. Bosman |
| 2024 | Attacker-Defender Strategy Optimization Using Multi-objective Competitive Co-Evolution. | Ritam Guha, Ryan McKendrick, Bradley Feest, Kalyanmoy Deb |
| 2024 | Three Objectives Degrade the Convergence Ability of Dominance-Based Multi-objective Evolutionary Algorithms. | Cheng Gong, Lie Meng Pang, Qingfu Zhang, Hisao Ishibuchi |
| 2024 | LTR-HSS: A Learning-to-Rank Based Framework for Hypervolume Subset Selection. | Cheng Gong, Ping Guo, Tianye Shu, Qingfu Zhang, Hisao Ishibuchi |
| 2024 | iMOPSE: a Comprehensive Open Source Library for Single- and Multi-objective Metaheuristic Optimization. | Konrad Gmyrek, Pawel B. Myszkowski, Michal Antkiewicz, Lukasz P. Olech |
| 2024 | Influence Maximization in Hypergraphs Using Multi-Objective Evolutionary Algorithms. | Stefano Genetti, Eros Ribaga, Elia Cunegatti, Quintino F. Lotito, Giovanni Iacca |
| 2024 | A Potential Function for a Variable-Metric Evolution Strategy. | Stephan Frank, Tobias Glasmachers |
| 2024 | Faster Optimization Through Genetic Drift. | Cella Florescu, Marc Kaufmann, Johannes Lengler, Ulysse Schaller |
| 2024 | Ranking Diversity Benefits Coevolutionary Algorithms on an Intransitive Game. | Mario Alejandro Hevia Fajardo, Per Kristian Lehre |
| 2024 | Improving the Performance of Relocation Rules for the Container Relocation Problem with the Rollout Algorithm. | Marko Durasevic, Mateja Dumic, Francisco Javier Gil Gala, Nikolina Frid, Domagoj Jakobovic |
| 2024 | Evolutionary Multi-objective Diversity Optimization. | Anh Viet Do, Mingyu Guo, Aneta Neumann, Frank Neumann |
| 2024 | Proven Runtime Guarantees for How the MOEA/D: Computes the Pareto Front from the Subproblem Solutions. | Benjamin Doerr, Martin S. Krejca, No Weeks |
| 2024 | Emergence of Specialised Collective Behaviors in Evolving Heterogeneous Swarms. | Fuda van Diggelen, Matteo De Carlo, Nicolas Cambier, Eliseo Ferrante, Guszti Eiben |
| 2024 | Hybridizing Target- and SHAP-Encoded Features for Algorithm Selection in Mixed-Variable Black-Box Optimization. | Konstantin Dietrich, Raphael Patrick Prager, Carola Doerr, Heike Trautmann |
| 2024 | Runtime Analysis for State-of-the-Art Multi-objective Evolutionary Algorithms on the Subset Selection Problem. | Renzhong Deng, Weijie Zheng, Mingfeng Li, Jie Liu, Benjamin Doerr |