| 2023 | Optimising Ferroelectric Thin Films with Evolutionary Computation. | Elonore Vissol-Gaudin, Yee-Fun Lim, Kedar Hippalgaonkar |
| 2023 | Interactive Latent Diffusion Model. | Mathurin Videau, Nickolai Knizev, Alessandro Ferreira Leite, Marc Schoenauer, Olivier Teytaud |
| 2023 | Using Affine Combinations of BBOB Problems for Performance Assessment. | Diederick Vermetten, Furong Ye, Carola Doerr |
| 2023 | Modular Differential Evolution. | Diederick Vermetten, Fabio Caraffini, Anna V. Kononova, Thomas Bck |
| 2023 | Analysis of modular CMA-ES on strict box-constrained problems in the SBOX-COST benchmarking suite. | Diederick Vermetten, Manuel Lpez-Ibez, Olaf Mersmann, Richard Allmendinger, Anna V. Kononova |
| 2023 | Evolutionary Algorithms: A new hope for the future of music teaching. | Francisco Fernndez de Vega, Jorge Alvarado, Abel Snchez, Manuel Serrano, Elia Pacioni |
| 2023 | Hierarchical Frames-of-References in Learning Classifier Systems. | Fumito Uwano, Will N. Browne |
| 2023 | Scikit-FIBERS: An 'OR'-Rule Discovery Evolutionary Algorithm for Risk Stratification in Right-Censored Survival Analyses. | Ryan J. Urbanowicz, Harsh Bandhey, Malek Kamoun, Nolan Fogarty, Yi-An Hsieh |
| 2023 | A multi-policy sequence-based selection hyper-heuristic for multi-objective optimization. | Michele Urbani, Francesco Pilati |
| 2023 | When to Elicit Preferences in Multi-Objective Bayesian Optimization. | Juan Ungredda, Jrgen Branke |
| 2023 | Accelerating Gene-pool Optimal Mixing Evolutionary Algorithm for Neural Architecture Search with Synaptic Flow. | Khoa Huu Tran, Luc Truong, An Vo, Ngoc Hoang Luong |
| 2023 | MNDE: Node-depth encoding can do better in evolutionary multitask algorithms. | Cong Dao Tran, Anh Do Tuan, Huynh Thi Thanh Binh, Duc Anh Do, Ha-Bang Ban, Su Nguyen |
| 2023 | A Two-Stage Multi-Objective Evolutionary Reinforcement Learning Framework for Continuous Robot Control. | Hai-Long Tran, Long Doan, Ngoc Hoang Luong, Huynh Thi Thanh Binh |
| 2023 | Coevolutionary Computation for Adversarial Deep Learning. | Jamal Toutouh, Una-May O'Reilly |
| 2023 | Semi-Supervised Learning with Coevolutionary Generative Adversarial Networks. | Jamal Toutouh, Subhash Nalluru, Erik Hemberg, Una-May O'Reilly |
| 2023 | On the Use of Second Order Neighbors to Escape from Local Optima. | Manuel Torralbo, Leticia Hernando, Ernesto Contreras-Torres, Jos Antonio Lozano |
| 2023 | A Novel Generalized Metaheuristic Framework for Dynamic Capacitated Arc Routing Problems. | Hao Tong, Leandro L. Minku, Stefan Menzel, Bernhard Sendhoff, Xin Yao |
| 2023 | Towards Evolutionary Control Laws for Viability Problems. | Alberto Tonda, Isabelle Alvarez, Sophie Martin, Giovanni Squillero, Evelyne Lutton |
| 2023 | Co-evolution improves the efficiency of preference learning methods when the Decision Maker's aspirations develop over time. | Michal Tomczyk, Milosz Kadzinski |
| 2023 | A Simple and Efficient Heuristic for Reducing Vulnerability of Complex Networks to Malicious Link Attacks. | Marco Tomassini |
| 2023 | Energy-aware metaheuristic for virtual machine placement towards a green cloud computing. | Takwa Tlili, Saoussen Krichen |
| 2023 | pyribs: A Bare-Bones Python Library for Quality Diversity Optimization. | Bryon Tjanaka, Matthew C. Fontaine, David H. Lee, Yulun Zhang, Nivedit Reddy Balam, Nathaniel Dennler, Sujay S. Garlanka, Nikitas Dimitri Klapsis, Stefanos Nikolaidis |
| 2023 | Biological insights on grammar-structured mutations improve fitness and diversity. | Stefano Tiso, Pedro Carvalho, Nuno Loureno, Penousal Machado |
| 2023 | Genetic Algorithm with Linkage Learning. | Renato Tins, Michal Przewozniczek, Darrell Whitley, Francisco Chicano |
| 2023 | Randomness in Local Optima Network Sampling. | Sarah L. Thomson, Nadarajen Veerapen, Gabriela Ochoa, Daan van den Berg |