A dynamic multi-objective optimization algorithm based on probability-driven prediction and correlation-guided individual transfer

The primary challenge in addressing dynamic multi-objective optimization problems (DMOPs) is the rapid tracking of optimal solutions. Although methods based on transfer learning have shown remarkable performance in tackling DMOPs, most existing methods overlook the potential relationships between in...

Full description

Bibliographic Details

Published in:	The Journal of supercomputing Vol. 81; no. 1; p. 348
Main Authors:	Ge, Fangzhen, Zhao, Xuan, Chen, Debao, Shen, Longfeng, Liu, Huaiyu
Format:	Journal Article
Language:	English
Published:	New York Springer Nature B.V 01.01.2025
Subjects:	Algorithms Annotations Correlation Genetic algorithms Kalman filters Multiple objective analysis Optimization Pareto optimum Trends
ISSN:	0920-8542, 1573-0484
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!