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cs.NE2026
Wasserstein Evolution : Evolutionary Optimization as Phase Transition
Kaichen Ouyang, Mingyang Yu, Zong Ke +5
Evolutionary algorithms (EAs) serve as powerful black-box optimizers inspired by biological evolution. However, most existing EAs predominantly focus on heuristic operators such as…
cs.NE2024★ 1 cited
Learn from Global Correlations: Enhancing Evolutionary Algorithm via Spectral GNN
Kaichen Ouyang, Zong Ke, Shengwei Fu +3
Evolutionary algorithms (EAs) simulate natural selection but have two main limitations: (1) they rarely update individuals based on global correlations, limiting comprehensive lear…