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| 2025 | A Multi-Granularity Fireworks Algorithm with Collaboration and Competition for Solving the Influence Maximization Problem. | Bin Hou, Guoyin Wang, Shuyin Xia, Degang Chen |
| 2025 | MGO: A Multi-Granularity Optimization Algorithm Based on Granular-balls. | Bin Hou, Degang Chen, Guoyin Wang, Shuyin Xia |
| 2025 | A Bio-Inspired Goal-Directed Cognitive Map Approach to Robot Navigation and Mapping. | Matthew Hicks, Tingjun Lei, Chaomin Luo, Lantao Liu, Zhuming Bi |
| 2025 | A First Approach to Refine Semantic Spaces in Zero-Shot Learning with a Genetic Algorithm. | J. J. Herrera, Francisco Herrera, Isaac Triguero |
| 2025 | AI-Assisted Fluid-Structure Modeling and Optimization of Pump-Jet Propulsor. | Yichen Hao, Linsheng Xia, Chao Bian, Zhendong Guo, Xiaofang Wang, Haitao Liu |
| 2025 | Q-A DE2: A Novel Approach for Solving Federated Learning Incentive Mechanisms Based on Stackelberg Game. | Chenyang Guo, Shengnan Zhao, Shiyue Qin |
| 2025 | Learning-based Bi-level Multi-objective Optimization for Container Stowage Planning Problem. | Meihan Guo, Yun Dong |
| 2025 | Progressive Surrogate Modeling for a Multi-objective Competitive Co-evolutionary (MoCCoEv) Wargame Strategy Optimization. | Ritam Guha, Ryan McKendrick, Bradley Feest, Kalyanmoy Deb |
| 2025 | Performance Study of Surrogate-Assisted Large-Scale Multiobjective Evolutionary Algorithms on GLSMOP Test Suite. | Haoran Gu, Cheng He, Handing Wang |
| 2025 | Effective Regularization Through Evolutionary Loss-Function Metalearning. | Santiago Gonzalez, Xin Qiu, Risto Miikkulainen |
| 2025 | Population Initialization for Evolutionary Multi-objective Optimization: A Short Review. | Cheng Gong, Ping Guo, Lie Meng Pang, Qingfu Zhang, Hisao Ishibuchi |
| 2025 | Learning-Driven Optimization with Integrated Multi-Model Approaches for Efficient Electric Vehicle Charging Scheduling. | Mahmoud Golabi, Abdennour Azerine, Ammar Oulamara, Lhassane Idoumghar |
| 2025 | An Adaptive Probabilistic Evolutionary Multi-task Algorithm for Multi-objective Recommendation. | Yuanyuan Ge, Shuai Wang, Haipeng Yang, Meng Zhu, Yimin Guo, Yingjie Li, Lei Zhang |
| 2025 | Surrogate Models are not Necessary for Black-Box Expensive Optimization. | Hongxiang Geng, Ye Tian, Shangshang Yang, Xingyi Zhang, Cheng He |
| 2025 | A Dual-Encoding-based Genetic Algorithm for Multi-Objective Multi-UAV Scheduling in Firefighting Scenarios. | Meng Gao, Xiao-Fang Liu, Zhi-Hui Zhan, Jun Zhang |
| 2025 | Physics-Informed Optimization via Ising Spin System Evolution. | Wujie Fu, Anupam Trivedi, Dipti Srinivasan, Aaron J. Danner |
| 2025 | Limitation of Adapting to Continuously Changing Optimization Problem and Its Solution in Swarm Optimization. | Shoei Fujita, Ryuki Ishizawa, Hiroyuki Sato, Keiki Takadama |
| 2025 | Exploring Parameter Influence on Empirical Drift Behavior for Variable-Metric Evolution Strategies. | Stephan Frank, Tobias Glasmachers |
| 2025 | Flexible Region Detection-based Genetic Programming for Fish Classification With Low-Quality Images. | Jigang Fan, Ying Bi, Bing Xue, Mengjie Zhang |
| 2025 | Weighted-Scenario Optimisation for the Chance Constrained Travelling Thief Problem. | Thilina Pathirage Don, Aneta Neumann, Frank Neumann |
| 2025 | Effective Computational Resource Allocation in Evolutionary Multi-Objective Multi-Task Optimization. | Zhiming Dong, Xianpeng Wang |
| 2025 | Multi-objective Feature Weighting: A Dual Phase Evolutionary Approach for Cancer Classification. | Krishal Dhungana, Azam Asilian Bidgoli |
| 2025 | Finding Multiple Alternate Solutions Using Evolutionary Multi-Objective Optimization. | Kalyanmoy Deb, Ritam Guha |
| 2025 | An Elite-Guided Large-Scale Multi-Objective Evolutionary Algorithm Driven by Denoising Diffusion Probabilistic Models. | Tingting Dang, Wenxuan Fang, Jiaqiang Li, Qiqi Liu, Junhua Gu, Yaochu Jin |