An Extended Particle Swarm Optimizer

Authors:
Xu Jun-jie;Xin Zhan-hong
Affiliations:
Beijing Univ. of Posts and Telecommunications, China;Beijing Univ. of Posts and Telecommunications, China
Venue:
IPDPS '05 Proceedings of the 19th IEEE International Parallel and Distributed Processing Symposium (IPDPS'05) - Workshop 6 - Volume 07
Year:
2005

Citing 3
Cited 1

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The landscape adaptive particle swarm optimizer

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Abstract

An extended particle swarm optimizer (EPSO) is proposed in this paper. In this new algorithm, not only the local but also the global best positions found so far will involve in the particle's velocity updating process. EPSO is an integration of two paradigms of canonical PSO and is presumed to yield a more steady progress of optimization. The experiment results have proved that EPSO is an applicable means to utilize the population information and it deserves to be investigated in future.