| 2024 | Superior Genetic Algorithms for the Target Set Selection Problem Based on Power-Law Parameter Choices and Simple Greedy Heuristics. | Benjamin Doerr, Martin S. Krejca, Nguyen Vu |
| 2024 | A Block-Coordinate Descent EMO Algorithm: Theoretical and Empirical Analysis. | Benjamin Doerr, Joshua D. Knowles, Aneta Neumann, Frank Neumann |
| 2024 | Runtime Analysis of the (μ + 1) GA: Provable Speed-Ups from Strong Drift towards Diverse Populations. | Benjamin Doerr, Aymen Echarghaoui, Mohammed Jamal, Martin S. Krejca |
| 2024 | A Gentle Introduction to Theory (for Non-Theoreticians). | Benjamin Doerr |
| 2024 | Informed Diversity Search for Learning in Asymmetric Multiagent Systems. | Gaurav Dixit, Kagan Tumer |
| 2024 | Hot off the Press: Runtime Analyses of Multi-Objective Evolutionary Algorithms in the Presence of Noise. | Matthieu Dinot, Benjamin Doerr, Ulysse Hennebelle, Sebastian Will |
| 2024 | Evolutionary Multitasking with Two-level Knowledge Transfer for Multi-view Point Cloud Registration. | Hangqi Ding, Haoran Xu, Yue Wu, Hao Li, Maoguo Gong, Wenping Ma, Qiguang Miao, Jiao Shi, Yu Lei |
| 2024 | Impact of Training Instance Selection on Automated Algorithm Selection Models for Numerical Black-box Optimization. | Konstantin Dietrich, Diederick Vermetten, Carola Doerr, Pascal Kerschke |
| 2024 | Characterising the Double Descent of Symbolic Regression. | Grant Dick, Caitlin A. Owen |
| 2024 | Evolving Potential Fields for Rules of the Road Compliant Ship Driving. | Korben Diarchangel, Liam Francisco, Jude Koenig, Sushil J. Louis |
| 2024 | Evolutionary Sparse Coding and Graph Regularisation for Embedded Multi-label Feature Selection. | Kaan Demir, Bach Hoai Nguyen, Bing Xue, Mengjie Zhang |
| 2024 | Evolutionary Bilevel Optimization: Algorithms and Applications. | Kalyanmoy Deb, Ankur Sinha |
| 2024 | Illustrating the Efficiency of Popular Evolutionary Multi-Objective Algorithms Using Runtime Analysis. | Duc-Cuong Dang, Andre Opris, Dirk Sudholt |
| 2024 | The SLO Hierarchy of pseudo-Boolean Functions and Runtime of Evolutionary Algorithms. | Duc-Cuong Dang, Per Kristian Lehre |
| 2024 | Comparing Large Language Models and Grammatical Evolution for Code Generation. | Leonardo Lucio Custode, Chiara Camilla Rambaldi Migliore, Marco Roveri, Giovanni Iacca |
| 2024 | NEvoFed: A Decentralized Approach to Federated NeuroEvolution of Heterogeneous Neural Networks. | Leonardo Lucio Custode, Ivanoe De Falco, Antonio Della Cioppa, Giovanni Iacca, Umberto Scafuri |
| 2024 | An investigation on the use of Large Language Models for hyperparameter tuning in Evolutionary Algorithms. | Leonardo Lucio Custode, Fabio Caraffini, Anil Yaman, Giovanni Iacca |
| 2024 | Many-Objective Evolutionary Influence Maximization: Balancing Spread, Budget, Fairness, and Time. | Elia Cunegatti, Leonardo Lucio Custode, Giovanni Iacca |
| 2024 | "A Cooperative Multi Indicator-Based Ant Colony Optimization Algorithm for the MOGenConVRP". | Rodrigo Fernando Velzquez Cruz, Carlos Ignacio Hernndez Castellanos |
| 2024 | Energy Consumption Analysis of Batch Runs of Evolutionary Algorithms. | Carlos Cotta, Jess Martnez-Cruz |
| 2024 | Navigating the Aisles: Evolutionary Algorithms for Supermarket Evacuation Planning. | Carlos Cotta |
| 2024 | Optimizing a Car Patrolling Application by Iterated Local Search. | Victor Hugo Vidigal Corra, Thiago Alves de Queiroz, Manuel Iori, Andr Gustavo dos Santos, Mutsunori Yagiura, Giorgio Zucchi |
| 2024 | Learning Classifier Systems as a Solver for the Abstraction and Reasoning Corpus. | Cameron Coombe, David Howard, Will N. Browne |
| 2024 | Multidimensional Archive Of The State Space. | Joshua Cook, Kagan Tumer |
| 2024 | Learning Aligned Local Evaluations For Better Credit Assignment In Cooperative Coevolution. | Joshua Cook, Kagan Tumer |