| 2025 | Rewarding Model Smoothness and Simplicity via Alternating Objectives in Symbolic Regression. | Nathan Haut, Mark E. Kotanchek |
| 2025 | Data-Informed Model Complexity Metric for Optimizing Symbolic Regression Models. | Nathan Haut, Zenas Huang, Adam Alessio |
| 2025 | A Symbolic Hessian-Based Approach for Assessing Model Complexity in Symbolic Regression. | Nathan Haut, Stuart W. Card, Mark E. Kotanchek |
| 2025 | A Better Multi-Objective GP-GOMEA - But do we Need it? | Joe Harrison, Tanja Alderliesten, Peter A. N. Bosman |
| 2025 | Evolutionary Quadtree Pooling for Convolutional Neural Networks. | Po-Wei Harn, Bo Hui, Libo Sun, Wei-Shinn Ku |
| 2025 | An LGBM-aided low-cost evoluationary algorithm for optimizing analog circuit sizing. | Zongchen Han, Chunliang Zhao, Dunwei Gong, Jing Sun |
| 2025 | Partition2Vec - Towards Representation Learning for Evolutionary Clustering using Siamese Autoencoders. | Julia Handl |
| 2025 | CatCMA with Margin: Stochastic Optimization for Continuous, Integer, and Categorical Variables. | Ryoki Hamano, Masahiro Nomura, Shota Saito, Kento Uchida, Shinichi Shirakawa |
| 2025 | Exploring Heterogeneity in Constrained Optimization: An Adaptive Two-Stage Surrogate-Assisted Evolutionary Algorithm. | Chenyan Gu, Handing Wang |
| 2025 | LEAR: LLM-Driven Evolution of Agent-Based Rules. | Can Gurkan, Narasimha Karthik Jwalapuram, Kevin Wang, Rudy Danda, Leif Rasmussen, John Chen, Uri Wilensky |
| 2025 | Enhancing Explainability and Reliable Decision-Making in Particle Swarm Optimization through Communication Topologies. | Nitin Gupta, Indu Bala, Bapi Dutta, Luis Martnez, Anupam Yadav |
| 2025 | A Novel Decomposition-Based Algorithm for Optimizing Demand-Side Response in Dynamic Economic Emission Dispatch Considering Gridable Vehicles Management. | Hongda Guo, Chixin Xiao, Dechen Jiang, Maoxin He |
| 2025 | Genetic Programming Based Feature Construction for Automated Algorithm Selection. | Qingbin Guo, Handing Wang |
| 2025 | Reinforcement Learning-based Self-adaptive Differential Evolution through Automated Landscape Feature Learning. | Hongshu Guo, Sijie Ma, Zechuan Huang, Yuzhi Hu, Zeyuan Ma, Xinglin Zhang, Yue-Jiao Gong |
| 2025 | Investigating the Spreadability of Problems in Evolutionary Multi-objective Optimization Algorithms. | Weifeng Guan, Fangqing Gu, Yingxuan Liang, Hailin Liu, Yuping Wang |
| 2025 | Exploring the Expressive Space of an Articulatory Vocal Modal using Quality-Diversity Optimization with Multimodal Embeddings. | Joris Grouwels, Nicolas Jonason, Bob L. T. Sturm |
| 2025 | Generalising the Team Orienteering problem through Multi-constraining and Multi-objectives. | Raimundo Gross, Elizabeth Montero, Nicols Glvez Ramrez, Adriana Menchaca-Mndez |
| 2025 | Visualising Adam Oscillations in Neural Network Loss Landscapes. | Henri van der Grijp, Anna S. Bosman, Katherine M. Malan |
| 2025 | Evolving Macro-Actions for MCTS Video Game Agents. | Andrew Gourley, Michael Dann, Xiaodong Li, Fabio Zambetta |
| 2025 | Indirect Credit Without A Heuristic For Coevolving Agents. | Everardo Gonzalez, Raghav Thakar, Kagan Tumer |
| 2025 | Dynamic Influence For Coevolutionary Agents. | Everardo Gonzalez, Gaurav Dixit, Kagan Tumer |
| 2025 | Performance Comparison between Evolutionary Algorithms and Linear Programming-based Relaxation Methods for Multi-Objective Knapsack Problems. | Cheng Gong, Ping Guo, Lie Meng Pang, Qingfu Zhang, Hisao Ishibuchi |
| 2025 | L-DEGR: A Novel Hybrid Algorithm for Multi-Skill Resource-Constrained Project Scheduling in Large-Scale. | Konrad Gmyrek, Pawel B. Myszkowski, Jan Gregor, Lukasz P. Olech |
| 2025 | Benchmarking the (1+1) Limited Memory Matrix Adaptation Evolution Strategy on the bbob-largescale Testbed. | Tobias Glasmachers |
| 2025 | Variable Metric Evolution Strategies for High-dimensional Multi-Objective Optimization. | Tobias Glasmachers |