Comprehensive Learning Particle Swarm Optimization Algorithm With Local Search for Multimodal Functions

A comprehensive learning particle swarm optimizer (CLPSO) embedded with local search (LS) is proposed to pursue higher optimization performance by taking the advantages of CLPSO's strong global search capability and LS's fast convergence ability. This paper proposes an adaptive LS starting...

Full description

Saved in:

Bibliographic Details
Published in:	IEEE transactions on evolutionary computation Vol. 23; no. 4; pp. 718 - 731
Main Authors:	Cao, Yulian, Zhang, Han, Li, Wenfeng, Zhou, Mengchu, Zhang, Yu, Chaovalitwongse, Wanpracha Art
Format:	Journal Article
Language:	English
Published:	New York IEEE 01.08.2019 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Adaptive strategy Algorithms Convergence evolutionary algorithm Indexes local search (LS) Machine learning multimodal function Optimization Parameter sensitivity Particle swarm optimization particle swarm optimization (PSO) Robustness (mathematics) Searching Sensitivity analysis Sociology Statistics
ISSN:	1089-778X, 1941-0026
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!