Constrained Particle Swarm Optimization Using Exterior Penalty Function and Swarm Activity

Constrained Particle Swarm Optimization Using Exterior Penalty Function and Swarm Activity

This paper proposes a Particle Swarm Optimization method for constrained optimization problems. The proposed method uses feedback of the swarm activity for maintaining the diversification of its search. The proposed method is applied to 4 typical constrained optimization problems to verify its perfo...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Denki Gakkai ronbunshi. C, Erekutoronikusu, joho kogaku, shisutemu Information and Systems, 2008/03/01, Vol.128(3), pp.517-518
Hauptverfasser: Takei, Mari, Yasuda, Keiichiro
Format: Artikel
Sprache:eng ; jpn
Schlagworte:
constrained optimization
exterior penalty function
Particle Swarm Optimization
swarm activity
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:This paper proposes a Particle Swarm Optimization method for constrained optimization problems. The proposed method uses feedback of the swarm activity for maintaining the diversification of its search. The proposed method is applied to 4 typical constrained optimization problems to verify its performance.
ISSN:0385-4221
1348-8155
DOI:10.1541/ieejeiss.128.517