Enhancing hierarchical surrogate-assisted evolutionary algorithm for high-dimensional expensive optimization via random projection

no code implementations • 1 Mar 2021 • Xiaodong Ren, Daofu Guo, Zhigang Ren, Yongsheng Liang, An Chen

By remarkably reducing real fitness evaluations, surrogate-assisted evolutionary algorithms (SAEAs), especially hierarchical SAEAs, have been shown to be effective in solving computationally expensive optimization problems.

Evolutionary Algorithms