A Constrained Learning-Based Competitive Swarm Optimizer for Large-Scale Multiobjective Optimization.
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DOI: 10.1109/tcyb.2025.3612091
Abstract: competitive swarm optimizer (CSO) is considered as a prominent paradigm for solving large-scale multiobjective optimization problems (LMOPs). However, the pairwise random competition (PRC) mechanism used in most existing CSOs may limit their performance in solving… read more here.
Keywords: swarm optimizer; constrained learning; scale multiobjective; large scale ... See more keywords