Modeling and analysis of indirect communication in Particle Swarm Optimization

Beitrag bei einer Tagung
(Konferenzbeitrag)


Details zur Publikation

Autor(en): Helwig S, Haubelt C, Teich J
Jahr der Veröffentlichung: 2005
Band: 2
Tagungsband: Proceedings of the 2005 IEEE Congress on Evolutionary Computation
Seitenbereich: 1246-1253
ISBN: 0780393635


Abstract


Particle Swarm Optimization (PSO) has successfully been applied to many optimization problems. One particularly interesting aspect of these algorithms is to study the communication behavior of the particles. Often, a neighborhood topology is defined a priori and used throughout the optimization run. However, the cost of communication between particles has not been analyzed up to now. In this paper, we will propose a novel algorithm called DAPSO (Distributed Archives PSO) that makes use of stationary archives to establish an indirect communication architecture in the swarms. Moreover, we provide analytical results of the required communication energy in such a scenario. This might be especially important in robot swarms and sensor networks. The applicability of our new methodology will be shown on some selected test cases. ©2005 IEEE.



FAU-Autoren / FAU-Herausgeber

Haubelt, Christian Prof. Dr.-Ing.
Teich, Jürgen Prof. Dr.-Ing.
Technische Fakultät
Lehrstuhl für Informatik 12 (Hardware-Software-Co-Design)


Zitierweisen

APA:
Helwig, S., Haubelt, C., & Teich, J. (2005). Modeling and analysis of indirect communication in Particle Swarm Optimization. In Proceedings of the 2005 IEEE Congress on Evolutionary Computation (pp. 1246-1253). Edinburgh, GB.

MLA:
Helwig, Sabine, Christian Haubelt, and Jürgen Teich. "Modeling and analysis of indirect communication in Particle Swarm Optimization." Proceedings of the 2005 IEEE Congress on Evolutionary Computation, IEEE CEC 2005, Edinburgh 2005. 1246-1253.

BibTeX: 

Zuletzt aktualisiert 2018-10-08 um 05:54