Expensive Optimization Problem

International Conference on Parallel Problem Solving from Nature（PPSN 2024，University of Applied Sciences Upper Austria，Hagenberg im Mühlkreis，オーストリア，9/14-18）にてポスター発表を行いました．すべての発表はポスター形式でした．開催にご尽力くださった方々に感謝いたします．

PPSN 2024 にて発表を行います．

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.