| 2023 | New Knowledge about the Elementary Landscape Decomposition for Solving the Quadratic Assignment Problem. | Xabier Benavides, Josu Ceberio, Leticia Hernando, Jos Antonio Lozano |
| 2023 | Priors for symbolic regression. | Deaglan J. Bartlett, Harry Desmond, Pedro G. Ferreira |
| 2023 | Solving Scheduling Problems with Quantum Computing: a Study on Flexible Open Shop. | Marco Baioletti, Angelo Oddi, Riccardo Rasconi |
| 2023 | Fixed Parameter Multi-Objective Evolutionary Algorithms for the W-Separator Problem. | Samuel Baguley, Tobias Friedrich, Aneta Neumann, Frank Neumann, Marcus Pappik, Ziena Zeif |
| 2023 | User-centred Design and Development of a Graphical User Interface for Learning Classifier Systems. | Sooraj K. Babu, Tim Schneider, Sebastian von Mammen |
| 2023 | An Evolutionary based Generative Adversarial Network Inspired Approach to Defeating Metamorphic Malware. | Kehinde O. Babaagba, Jordan Wylie |
| 2023 | Applying Ising Machines to Multi-objective QUBOs. | Mayowa Ayodele, Richard Allmendinger, Manuel Lpez-Ibez, Arnaud Liefooghe, Matthieu Parizy |
| 2023 | Novelty Seeking Multiagent Evolutionary Reinforcement Learning. | Ayhan Alp Aydeniz, Robert Tyler Loftin, Kagan Tumer |
| 2023 | An Introduction to Scientific Experimentation and Benchmarking. | Anne Auger, Nikolaus Hansen |
| 2023 | Improved Multi-Objective Data Stream Clustering with Time and Memory Optimization. | Mohammed Walid Attaoui, Hanene Azzag, Mustapha Lebbah |
| 2023 | SonOpt: Understanding the behaviour of bi-objective population-based optimisation algorithms through sound. | Tasos Asonitis, Richard Allmendinger, Matt Benatan, Ricardo Climent |
| 2023 | PyScheduling: an Extensible and User-Friendly Python Framework for Scheduling Problems. | Taha Arbaoui, Mohamed Elamine Athmani, Mohammed Henni, Akram Badreddine Laissaoui, Mourad Terzi |
| 2023 | Searching for Quality: Genetic Algorithms and Metamorphic Testing for Software Engineering ML. | Leonhard Applis, Annibale Panichella, Ruben Marang |
| 2023 | Evolutionary Multi-Objective Deep Reinforcement Learning for Autonomous UAV Navigation in Large-Scale Complex Environments. | Guangyan An, Ziyu Wu, Zhilong Shen, Ke Shang, Hisao Ishibuchi |
| 2023 | Single and Multi-Objective Bilevel Optimization. | Carlos Henggeler Antunes, Maria Joo Alves |
| 2023 | Multi-Task Multi-Behavior MAP-Elites. | Timothe Anne, Jean-Baptiste Mouret |
| 2023 | MOREA: a GPU-accelerated Evolutionary Algorithm for Multi-Objective Deformable Registration of 3D Medical Images. | Georgios Andreadis, Peter A. N. Bosman, Tanja Alderliesten |
| 2023 | Producing Diverse Rashomon Sets of Counterfactual Explanations with Niching Particle Swarm Optimization Algorithms. | Hayden Andersen, Andrew Lensen, Will N. Browne, Yi Mei |
| 2023 | GPStar4: A flexible framework for experimenting with genetic programming. | Julien Amblard, Robert Filman, Gabriel Kopito |
| 2023 | Fast Genetic Algorithm for feature selection - A qualitative approximation approach. | Mohammed Ghaith Altarabichi, Slawomir Nowaczyk, Sepideh Pashami, Peyman Sheikholharam Mashhadi |
| 2023 | On the evolution of mechanisms for three-option collective decision-making in a swarm of simulated robots. | Ahmed Almansoori, Muhanad Alkilabi, Elio Tuci |
| 2023 | A Feature-Free Approach to Automated Algorithm Selection. | Mohamad Alissa, Kevin Sim, Emma Hart |
| 2023 | Designing Convolutional Neural Networks using Surrogate assisted Genetic Algorithm for Medical Image Classification. | Muhammad Junaid Ali, Laurent Moalic, Mokhtar Essaid, Lhassane Idoumghar |
| 2023 | Tomographic Reconstruction with Search Space Expansion. | Mohammad Majid al-Rifaie, Tim Blackwell |
| 2023 | CMA-ES and Advanced Adaptation Mechanisms. | Youhei Akimoto, Nikolaus Hansen |