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...

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Bibliographic Details

Published in:	Jisuanji kexue
Main Author:	GENG Huantong, SONG Feifei, ZHOU Zhengli, XU Xiaohan
Format:	Article
Language:	Chinese
Published:	Editorial office of Computer Science 2023-07-01
Subjects:	expensive and time-consuming problems|evolutionary algorithm|surrogate-assisted multi-objective optimization|kriging model|model management
Online Access:	https://www.jsjkx.com/fileup/1002-137X/PDF/1002-137X-2023-50-7-194.pdf