Computationally expensive multi-objective optimization problems via optimization state-driven adaptive evolution

•An adaptive evolution framework to integrate association and optimized state.•Two metrics with different convergence characteristics to select individuals.•Two reference points to switch and guide evolution directions.•An optimized population update to mitigate parent population diversity loss.•Sup...

Full description

Bibliographic Details

Published in:	Information sciences Vol. 729; p. 122847
Main Authors:	Chen, Yuhang, Yang, Zan, Jiang, Chen, Qiu, Haobo
Format:	Journal Article
Language:	English
Published:	Elsevier Inc 01.03.2026
Subjects:	Differential evolution Expensive multi-objective optimization Optimization state-driven adaptive evolution algorithm Radial basis function Optimization state-driven adaptive evolution algorithm Radial basis function Differential evolution Expensive multi-objective optimization
ISSN:	0020-0255
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!