Expensive Optimization Problem

International Conference on Parallel Problem Solving from Nature (PPSN 2024)

This work proposes a new surrogate-assisted evolutionary algorithm that partially optimizes each objective/constraint, namely surrogate-assisted partial optimization (SAPO). Solutions with better values of objective/constraint are selected from the evaluated solutions as the parent solutions and a focused objective/constraint is independently optimized using surrogate models one by one.