| 2023 | Evolving Reinforcement Learning Environment to Minimize Learner's Achievable Reward: An Application on Hardening Active Directory Systems. | Diksha Goel, Aneta Neumann, Frank Neumann, Hung Nguyen, Mingyu Guo |
| 2023 | LGP-VEC: A Vectorial Linear Genetic Programming for Symbolic Regression. | Nikola Gligorovski, Jinghui Zhong |
| 2023 | Evaluation of the impact of various modifications to CMA-ES that facilitate its theoretical analysis. | Armand Gissler |
| 2023 | QNEAT: Natural Evolution of Variational Quantum Circuit Architecture. | Alessandro Giovagnoli, Volker Tresp, Yunpu Ma, Matthias Schubert |
| 2023 | Multiobjective Optimization with a Quadratic Surrogate-assisted CMA-ES. | Mohamed Gharafi, Nikolaus Hansen, Dimo Brockhoff, Rodolphe Le Riche |
| 2023 | Search-Based Test Generation Targeting Non-Functional Quality Attributes of Android Apps. | Teklit Gereziher, Selam Gebrekrstos, Gregory Gay |
| 2023 | An analysis of choice functions for Fuzzy ART using grammatical evolution. | Mia Gerber, Nelishia Pillay |
| 2023 | Automated algorithm composition of unsupervised image clustering algorithms. | Mia Gerber, Nelishia Pillay |
| 2023 | Hybrid Multi-Objective Genetic Programming for Parameterized Quantum Operator Discovery. | Felix Gnther Gemeinhardt, Stefan Klikovits, Manuel Wimmer |
| 2023 | Down-Sampled Epsilon-Lexicase Selection for Real-World Symbolic Regression Problems. | Alina Geiger, Dominik Sobania, Franz Rothlauf |
| 2023 | A Search for Nonlinear Balanced Boolean Functions by Leveraging Phenotypic Properties. | Bruno Gasperov, Marko Durasevic, Domagoj Jakobovic |
| 2023 | On Evolvability and Behavior Landscapes in Neuroevolutionary Divergent Search. | Bruno Gasperov, Marko Durasevic |
| 2023 | Analyzing the interplay between transferable GANs and gradient optimizers. | Unai Garciarena, Roberto Santana, Alexander Mendiburu |
| 2023 | Application of Quantum Annealing to Supply Chain Planning under Uncertainty. | Jesus Garcia Garcia, Pablo Galan Jativa |
| 2023 | Two-Level Algorithm Combining Bayesian Optimization and Swarm Intelligence for Variable-Size Optimal Layout Problems. | Juliette Gamot, Mathieu Balesdent, Romain Wuilbercq, Arnault Tremolet, Nouredine Melab, El-Ghazali Talbi |
| 2023 | An analysis of training models to evolve heuristics for the travelling salesman problem. | Francisco Javier Gil Gala, Marko Durasevic, Mateja Dumic, Rebeka Coric, Domagoj Jakobovic |
| 2023 | Genetic programming for the vehicle routing problem with zone-based pricing. | Francisco Javier Gil Gala, Sezin Afsar, Marko Durasevic, Juan Jos Palacios, Hasan Murat Afsar |
| 2023 | A Relative Approach to Comparative Performance Analysis for Quantum Optimization. | Thomas Gabor, Sebastian Zielinski, Sofie Henghuber, Claudia Linnhoff-Popien |
| 2023 | Explaining a Staff Rostering Genetic Algorithm using Sensitivity Analysis and Trajectory Analysis. | Martin Fyvie, John McCall, Lee A. Christie, Alexander E. I. Brownlee |
| 2023 | Development of forked divergence particle swarm optimization. | So Fukuhara, Masao Arakawa |
| 2023 | Multi-Objective Policy Evolution for a Same-Day Delivery Problem with Soft Deadlines. | Nikolaus Frohner, Gnther R. Raidl, Francisco Chicano |
| 2023 | OmnImage: Evolving 1k Image Cliques for Few-Shot Learning. | Lapo Frati, Neil Traft, Nick Cheney |
| 2023 | Factored Particle Swarm Optimization for Policy Co-training in Reinforcement Learning. | Kordel K. France, John W. Sheppard |
| 2023 | Reducing Overparameterization of Symbolic Regression Models with Equality Saturation. | Fabrcio Olivetti de Frana, Gabriel Kronberger |
| 2023 | Fighting Underspecification in Symbolic Regression with Fitness Sharing. | Fabrcio Olivetti de Frana |