Shengwei Fu

Learn from Global Correlations: Enhancing Evolutionary Algorithm via Spectral GNN

Evolutionary algorithms (EAs) are optimization algorithms that simulate natural selection and genetic mechanisms. Despite advancements, existing EAs have two main issues: (1) they rarely update next-generation individuals based on global correlations, thus limiting comprehensive learning; (2) it is