| 2023 | On the Suitability of Representations for Quality Diversity Optimization of Shapes. | Ludovico Scarton, Alexander Hagg |
| 2023 | Diffusely Distributed Parallelization of MOEA/D with Edge Weight Vectors Sharing. | Yuji Sato, Mads A. Midtlyng, Mikiko Sato |
| 2023 | Neuroevolution Trajectory Networks: revealing the past of incrementally neuroevolved CNNs. | Stefano Sarti |
| 2023 | Doubly Stochastic Matrix Models for Estimation of Distribution Algorithms. | Valentino Santucci, Josu Ceberio |
| 2023 | Comparison of Bayesian Optimization Algorithms for BBOB Problems in Dimensions 10 and 60. | Maria Laura Santoni, Elena Raponi, Renato De Leone, Carola Doerr |
| 2023 | Q-Learning Ant Colony Optimization supported by Deep Learning for Target Set Selection. | Jairo Enrique Ramrez Snchez, Camilo Chacn Sartori, Christian Blum |
| 2023 | On the Effect of Temporal Heterogeneity on Selection Pressure of Evolutionary Algorithms. | Victor Manuel Sanchez Sanchez, Carlos Gershenson Garca, Carlos Ignacio Hernandez Castellanos |
| 2023 | Genotype Diversity Measures for Escaping Plateau Regions in University Course Timetabling. | James Sakal, Jonathan E. Fieldsend, Edward C. Keedwell |
| 2023 | Using a Database to Support Interactive Multiobjective Optimization, Visualization, and Analysis. | Bhupinder Singh Saini, Giomara Lrraga, Kaisa Miettinen |
| 2023 | Solving the Flow-Shop Scheduling problem using Grover's Algorithm. | Malak Saiem, Taha Arbaoui, Faicel Hnaien |
| 2023 | Extrema Graphs: Fitness Landscape Analysis to the Extreme! | Sophie Sadler, Alma A. M. Rahat, David Walker, Daniel Archambault |
| 2023 | Genetic Structural NAS: A Neural Network Architecture Search with Flexible Slot Connections. | Jakub Sadel, Michal Kawulok, Mateusz Przeliorz, Jakub Nalepa, Daniel Kostrzewa |
| 2023 | Reducing high-dimensional feature set of hyperspectral measurements for plant phenotype classification. | Bogdan Ruszczak |
| 2023 | Evolutionary configuration of the Temporal Convolutional Network for the electricity price prediction. | Bogdan Ruszczak |
| 2023 | A Selection Hyper-Heuristic for Transfer Learning in Genetic Programming. | Jeffrey Russell, Nelishia Pillay |
| 2023 | Evolution of Walsh Transforms with Genetic Programming. | Luigi Rovito, Andrea De Lorenzo, Luca Manzoni |
| 2023 | Representations for Evolutionary Algorithms. | Franz Rothlauf |
| 2023 | A Preference-based Activity Scheduling Algorithm Using Many-objective Optimization. | Markus Rothktter, Sanaz Mostaghim |
| 2023 | Exploring the Potential of JuLeS: A White Box Framework for Local Search Metaheuristics. | Francesca Da Ros, Luca Di Gaspero |
| 2023 | Local Search Strategies for Multi-Objective Flowshop Scheduling: Introducing Pareto Late Acceptance Hill Climbing. | Francesca Da Ros, Luca Di Gaspero |
| 2023 | Designing Scalarizing Functions Using Grammatical Evolution. | Amn V. Bernab Rodrguez, Carlos A. Coello Coello |
| 2023 | Performance Analysis of Self-Supervised Strategies for Standard Genetic Programming. | Nuno Miguel Rodrigues, Jos G. de Almeida, Sara Silva |
| 2023 | Multiobjective coevolutionary training of Generative Adversarial Networks. | Guillermo Ripa, Agustn Mautone, Andrs Vidal, Sergio Nesmachnow, Jamal Toutouh |
| 2023 | Pretraining Reduces Runtime in Denoising Autoencoder Genetic Programming by an Order of Magnitude. | Johannes Reiter, Dirk Schweim, David Wittenberg |
| 2023 | Learning to Adapt Genetic Algorithms for Multi-Objective Flexible Job Shop Scheduling Problems. | Robbert Reijnen, Yingqian Zhang, Zaharah Allah Bukhsh, Mateusz Guzek |