Modeling and analysis of indirect communication in Particle Swarm Optimization

Conference contribution
(Conference Contribution)


Publication Details

Author(s): Helwig S, Haubelt C, Teich J
Publication year: 2005
Volume: 2
Conference Proceedings Title: Proceedings of the 2005 IEEE Congress on Evolutionary Computation
Pages range: 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 Authors / FAU Editors

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


How to cite

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: 

Last updated on 2018-10-08 at 05:54