At the 2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2025), held in Hangzhou, China, ...
At the 2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2025), held in Hangzhou, China, ...
Abstract: When solving expensive multi-objective optimization problems, traditional evolutionary algorithms rely on a large number of fitness evaluations, which leads to insufficient exploration of ...
Abstract: In dynamic environments, optimization algorithms tend to track the changing optima. However, frequent changes to decision solutions often cause high switching costs and system instability.
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