Kavli Affiliate: Young-kee Kim | Summary:Evolutionary algorithms often struggle to find well converged (e.g small inverted generational distance on test problems) solutions to multi-objective optimization problems on a limited budget of function evaluations (here, a few hundred). The family of surrogate-assisted evolutionary algorithms (SAEAs) offers a potential solution to this shortcoming through the use of […]
Continue.. A Comparison-Relationship-Surrogate Evolutionary Algorithm for Multi-Objective Optimization