Differential Evolution Using Surrogate Model Based on Pairwise Ranking Estimation for Constrained Optimization Problems

被引：3

作者：

Kano, Hitomi ^{[1
]}

Harada, Tomohiro ^{[2
]}

Miura, Yukiya ^{[2
]}

机构：

[1] Tokyo Metropolitan Univ, Grad Sch Syst Design, Tokyo, Japan

[2] Tokyo Metropolitan Univ, Fac Syst Design, Tokyo, Japan

来源：

2022 JOINT 12TH INTERNATIONAL CONFERENCE ON SOFT COMPUTING AND INTELLIGENT SYSTEMS AND 23RD INTERNATIONAL SYMPOSIUM ON ADVANCED INTELLIGENT SYSTEMS (SCIS&ISIS) | 2022年

基金：

日本学术振兴会;

关键词：

evolutionary computation; constrained optimization problem; surrogate model; learning to rank; differential evolution;

D O I：

10.1109/SCISISIS55246.2022.10001982

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This study proposes a new surrogate-assisted evolutionary algorithm, CHDE+ELDR, that combines CHDE, a constraint-handling evolutionary algorithm, and ELDR, a pairwise ranking surrogate model. The experiment compares CHDE+ELDR with CHDE without a surrogate model on 13 constrained optimization benchmark problems. The experimental results show that CHDE+ELDR significantly outperforms CHDE without a surrogate model on all benchmark problems.

引用

页数：6

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