| 2023 | Exploring Generative Adversarial Networks for Text-to-Image Generation with Evolution Strategies. | Victor Costa, Nuno Loureno, Joo Correia, Penousal Machado |
| 2023 | Learning to Select Initialisation Heuristic for Vehicle Routing Problems. | Joo Guilherme Cavalcanti Costa, Yi Mei, Mengjie Zhang |
| 2023 | Combining Evolutionary Algorithms with Reaction Rules Towards Focused Molecular Design. | Joo Correia, Vitor Pereira, Miguel Rocha |
| 2023 | Multiobjective evolutionary search of the latent space of Generative Adversarial Networks for human face generation. | Jairo Correa, Jimena Mignaco, Gonzalo Rey, Benjamn Machn, Sergio Nesmachnow, Jamal Toutouh |
| 2023 | Probabilistic-based Optimization for PV Hosting Capacity with Confidence Interval Restrictions. | Luis Cordero, Brian Jaramillo-Leon, Jonatas Boas Leite, John F. Franco, Jos Almeida, Fernando Lezama, Joo P. Soares |
| 2023 | Leveraging Fitness Critics To Learn Robust Teamwork. | Joshua Cook, Kagan Tumer, Tristan Scheiner |
| 2023 | Modeling Strong Physically Unclonable Functions with Metaheuristics. | Carlos A. Coello Coello, Marko Durasevic, Domagoj Jakobovic, Marina Krcek, Luca Mariot, Stjepan Picek |
| 2023 | Constraint-Handling Techniques used with Evolutionary Algorithms. | Carlos Artemio Coello Coello |
| 2023 | Encoding the At-Most-One Constraint for QUBO and Quantum Annealing: Experiments with the N-Queens problem. | Philippe Codognet |
| 2023 | Differentiable Soft-Robot Generation. | Franois Cochevelou, David Leo Bonner, Martin-Pierre Schmidt |
| 2023 | Computing Star Discrepancies with Numerical Black-Box Optimization Algorithms. | Franois Clment, Diederick Vermetten, Jacob de Nobel, Alexandre D. Jesus, Lus Paquete, Carola Doerr |
| 2023 | Generative Adversarial Neuroevolution for Control Behaviour Imitation. | Maximilien Le Clei, Pierre Bellec |
| 2023 | Generating Adversarial Examples through Latent Space Exploration of Generative Adversarial Networks. | Luana Clare, Joo Correia |
| 2023 | Quality Diversity optimization using the IsoLineDD operator: forward and backward directions are equally important. | Konstantinos Christou, Chris Christodoulou, Vassilis Vassiliades |
| 2023 | Enhanced Strongly typed Genetic Programming for Algorithmic Trading. | Evangelia Christodoulaki, Michael Kampouridis, Maria Kyropoulou |
| 2023 | Evolutionary Pruning of Deep Convolutional Networks by a Memetic GA with Sped-Up Local Optimization and GLCM Energy Z-Score. | Ha Hyun Cho, Han Joon Byun, Min Kee Kim, Joon Huh, Byung-Ro Moon |
| 2023 | Evolutionary Optimization of a Focused Ultrasound Propagation Predictor Neural Network. | Jakub Chlebik, Jir Jaros |
| 2023 | Using a Parallel Ensemble of Sequence-Based Selection Hyper-Heuristics for Electric Bus Scheduling. | Darren M. Chitty, James Lewis, Ed Keedwell |
| 2023 | An Adaptive Sequence-Based Selection Hyper-Heuristic for Application to Electric Bus Scheduling. | Darren M. Chitty, James Lewis, Ed Keedwell |
| 2023 | Phased Genetic Programming for Application to the Traveling Salesman Problem. | Darren M. Chitty, Ed Keedwell |
| 2023 | Local Optima Markov Chain: A New Tool for Landscape-aware Analysis of Algorithm Dynamics. | Francisco Chicano, Gabriela Ochoa, Bilel Derbel, Lorenzo Canonne |
| 2023 | Fourier Transform-based Surrogates for Permutation Problems. | Francisco Chicano, Bilel Derbel, Sbastien Vrel |
| 2023 | An Efficient QAOA via a Polynomial QPU-Needless Approach. | Francisco Chicano, Zakaria Abdelmoiz Dahi, Gabriel Luque |
| 2023 | Solving the Multitasking Robust Influence Maximization Problem on Networks using a Multi-factorial Evolutionary Algorithm. | Minghao Chen, Shuai Wang, Shun Cai |
| 2023 | A Robust Offline Data-Driven Evolutionary Optimization Algorithm for Solving Expensive Soft Pneumatic Actuator Design. | Hao Chen, Weikun Li, Zhenhua Wang, Weicheng Cui, Kai Sun |