| 2023 | Relieving Genetic Programming from Coefficient Learning for Symbolic Regression via Correlation and Linear Scaling. | Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang |
| 2023 | Neighbor-Hop Mutation for Genetic Algorithm in Influence Maximization. | Aviral Chawla, Nick Cheney |
| 2023 | Quantum Enhancements for AlphaZero. | James Chao, Ramiro Rodriguez, Sean Crowe |
| 2023 | Mastering Stochastic Partially Observable Asymmetrical Multi-Agent Game with Rolling Horizon Evolution Algorithm. | James Chao, Lance Nakamoto |
| 2023 | Taylor Polynomial Enhancer using Genetic Programming for Symbolic Regression. | Chi-Hsien Chang, Tu-Chin Chiang, Tzu-Hao Hsu, Ting-Shuo Chuang, Wen Zhong Fang, Tian-Li Yu |
| 2023 | Towards Large-Scale Simulations of Open-Ended Evolution in Continuous Cellular Automata. | Bert Wang-Chak Chan |
| 2023 | Estimation of Interstitial Glucose from physical activity measures using Grammatical Evolution. | Carlos Cervign, Jos Ignacio Hidalgo |
| 2023 | DynamoRep: Trajectory-Based Population Dynamics for Classification of Black-box Optimization Problems. | Gjorgjina Cenikj, Gasper Petelin, Carola Doerr, Peter Korosec, Tome Eftimov |
| 2023 | Lexicase Selection. | William George La Cava, Thomas Helmuth |
| 2023 | Optimizing fairness tradeoffs in machine learning with multiobjective meta-models. | William G. La Cava |
| 2023 | EA-based ASV Trajectory Planner for Detecting Cyanobacterial Blooms in Freshwater. | Gonzalo Carazo-Barbero, Eva Besada-Portas, Jos Luis Risco-Martn, Jos Antonio Lpez Orozco |
| 2023 | To Combine or not to Combine Graybox Crossover and Local Search? | Lorenzo Canonne, Bilel Derbel, Francisco Chicano, Gabriela Ochoa |
| 2023 | Hardware design of a model generator based on grammars and cartesian genetic programming for blood glucose prediction. | Jorge Cano, Jos Ignacio Hidalgo, Oscar Garnica, Juan Lanchares |
| 2023 | Fast Collective Decision-Making without Prior Knowledge. | Nicolas Cambier, Eliseo Ferrante |
| 2023 | Adaptive Search-based Repair of Deep Neural Networks. | Davide Li Calsi, Matias Duran, Thomas Laurent, Xiao-Yi Zhang, Paolo Arcaini, Fuyuki Ishikawa |
| 2023 | A Memetic Algorithm to solve the Robust Influence Maximization Problems against Cascading Failures. | Shun Cai, Shuai Wang, Zhaoxi Ou |
| 2023 | Symbolic Regression Trees as Embedded Representations. | Victor Caetano, Matheus Cndido Teixeira, Gisele Lobo Pappa |
| 2023 | Automated Algorithm Configuration and Design. | Leslie Prez Cceres, Manuel Lpez-Ibez, Thomas Sttzle |
| 2023 | GECCO'2022 Symbolic Regression Competition: Post-Analysis of the Operon Framework. | Bogdan Burlacu |
| 2023 | A Novel Fitness Function for Automated Software Test Case Generation Based on Nested Constraint Hardness. | Thi-Mai-Anh Bui, Quoc-Trung Bui, Van-Tri Do |
| 2023 | Probabilistic model with evolutionary optimization for cognitive diagnosis. | Chenyang Bu, Zhiyong Cao, Chenlong He, Yuhong Zhang |
| 2023 | Genetic Improvement: Taking real-world source code and improving it using computational search methods. | Alexander E. I. Brownlee, Saemundur O. Haraldsson, John R. Woodward |
| 2023 | GECCO 2023 Tutorial on Benchmarking Multiobjective Optimizers 2.0. | Dimo Brockhoff, Tea Tusar |
| 2023 | Benchmarking the Borg algorithm on the Biobjective bbob-biobj Testbed. | Dimo Brockhoff, Pascal Capetillo, Jonathan Hornewall, Raphael Walker |
| 2023 | Comparing Boundary Handling Techniques of CMA-ES on the bbob and sbox-cost Test Suites. | Dimo Brockhoff |