Improved NSGA-III Based on Kriging Model for Expensive Many-objective Optimization Problems

In many real world multi-objective optimization problems(MOP),the cost of physical experiments or numerical simulations for fitness evaluation is very expensive,which poses a great challenge to most existing multi-objective evolutionary algorithmEAs).Therefore,this paper proposes an improved referen...

Popoln opis

Bibliografske podrobnosti

Glavni avtor:	GENG Huantong, SONG Feifei, ZHOU Zhengli, XU Xiaohan
Format:	Artigo
Jezik:	Chinês
Izdano:	Editorial office of Computer Science 2023-07-01
Serija:	Jisuanji kexue
Teme:	expensive and time-consuming problems|evolutionary algorithm|surrogate-assisted multi-objective optimization|kriging model|model management
Online dostop:	https://www.jsjkx.com/fileup/1002-137X/PDF/1002-137X-2023-50-7-194.pdf
Oznake:	Označite Brez oznak, prvi označite!