| 2023 | Using Evolutionary Computation to Find Parameters that Promote Egalitarian Major Evolutionary Transitions. | Max Foreback, Sydney Leither, Emily L. Dolson |
| 2023 | Adaptive Team Cooperative Co-Evolution for a Multi-Rover Distribution Problem. | Nicolas Fontbonne, Nicolas Maudet, Nicolas Bredche |
| 2023 | Covariance Matrix Adaptation MAP-Annealing. | Matthew C. Fontaine, Stefanos Nikolaidis |
| 2023 | Comparing the expressive power of Strongly-Typed and Grammar-Guided Genetic Programming. | Alcides Fonseca, Diogo Poas |
| 2023 | Evolutionary Symbolic Regression: Mechanisms from the Perspectives of Morphology and Adaptability. | Kei Sen Fong, Shelvia Wongso, Mehul Motani |
| 2023 | DistilSR: A Distilled Version of Gene Expression Programming Symbolic Regression. | Kei Sen Fong, Mehul Motani |
| 2023 | Evolutionary Algorithms for Segment Optimization in Vectorial GP. | Philipp Fleck, Stephan M. Winkler, Michael Kommenda, Sara Silva, Leonardo Vanneschi, Michael Affenzeller |
| 2023 | Benchmark Tasks for Quality-Diversity Applied to Uncertain Domains. | Manon Flageat, Luca Grillotti, Antoine Cully |
| 2023 | Improving the Relevance of Artificial Instances for Curriculum-Based Course Timetabling through Feasibility Prediction. | Thomas Feutrier, Nadarajen Veerapen, Marie-Elonore Kessaci |
| 2023 | HOTGP - Higher-Order Typed Genetic Programming. | Matheus Campos Fernandes, Fabrcio Olivetti de Frana, Emilio Francesquini |
| 2023 | Self-Building Neural Networks. | Andrea Ferigo, Giovanni Iacca |
| 2023 | Aggregation Through Adaptive Random Walks in a Minimalist Robot Swarm. | Luigi Feola, Antoine Sion, Vito Trianni, Andreagiovanni Reina, Elio Tuci |
| 2023 | Gaggle: Genetic Algorithms on the GPU using PyTorch. | Lucas Fenaux, Thomas Humphries, Florian Kerschbaum |
| 2023 | Learning by Viewing: Generating Test Inputs for Games by Integrating Human Gameplay Traces in Neuroevolution. | Patric Feldmeier, Gordon Fraser |
| 2023 | Overcoming Deceptive Rewards with Quality-Diversity. | Arno Feiden, Jochen Garcke |
| 2023 | GP with Ranging-Binding Technique for Symbolic Regression. | Wen Zhong Fang, Chi-Hsien Chang, Jung-Chun Liu, Tian-Li Yu |
| 2023 | MAP-Elites with Descriptor-Conditioned Gradients and Archive Distillation into a Single Policy. | Maxence Faldor, Flix Chalumeau, Manon Flageat, Antoine Cully |
| 2023 | Runtime Analysis of a Co-Evolutionary Algorithm: Overcoming Negative Drift in Maximin-Optimisation. | Mario Alejandro Hevia Fajardo, Per Kristian Lehre, Shishen Lin |
| 2023 | How Fitness Aggregation Methods Affect the Performance of Competitive CoEAs on Bilinear Problems. | Mario Alejandro Hevia Fajardo, Per Kristian Lehre |
| 2023 | Comparison Of Three Versions Of Whale Optimization Algorithm (WOA) On The Bbob Test Suite. | scar Espinoza, Katya Rodrguez-Vzquez, Carlos Ignacio Hernndez Castellanos, Suemi Rodrguez-Romo |
| 2023 | Trade-off Between Robustness and Worst-Case Performance in Min-Max Optimization. | Hinata Edo, Yoshiki Miyauchi, Atsuo Maki, Youhei Akimoto |
| 2023 | Towards Vertical Privacy-Preserving Symbolic Regression via Secure Multiparty Computation. | Du Nguyen Duy, Michael Affenzeller, Ramin Nikzad-Langerodi |
| 2023 | Digging Deeper: Operator Analysis for Optimizing Nonlinearity of Boolean Functions. | Marko Durasevic, Domagoj Jakobovic, Luca Mariot, Stjepan Picek |
| 2023 | Does size matter? On the influence of ensemble size on constructing ensembles of dispatching rules. | Marko Durasevic, Francisco Javier Gil Gala, Domagoj Jakobovic |
| 2023 | Divide and conquer: Using single objective dispatching rules to improve convergence for multi-objective optimisation. | Marko Durasevic, Francisco Javier Gil Gala, Domagoj Jakobovic |