A dynamic multi-objective particle swarm optimization algorithm based on adversarial decomposition and neighborhood evolution

Many multi-objective optimization problems in the real world are dynamic, with objectives that conflict and change over time. These problems put higher demands on the algorithm’s convergence performance and the ability to respond to environmental changes. Confronting these two points, this paper pro...

Full description

Bibliographic Details

Published in:	Swarm and evolutionary computation Vol. 69; p. 100987
Main Authors:	Zheng, Jinhua, Zhang, Zeyu, Zou, Juan, Yang, Shengxiang, Ou, Junwei, Hu, Yaru
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.03.2022
Subjects:	Adversarial decomposition Dynamic multi-objective optimization Particle swarm optimization Dynamic multi-objective optimization Particle swarm optimization Adversarial decomposition
ISSN:	2210-6502
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!