Optimization of high-dimensional expensive multi-objective problems using multi-mode radial basis functions
Abstract Numerous surrogate-assisted evolutionary algorithms are developed for multi-objective expensive problems with low dimensions, but scarce works have paid attention to that with high dimensions, i.e., generally more than 30 decision variables.In this paper, we propose 3/4 Sleeve Dress a multi-mode radial basis functions-assisted evolutionary