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DNPSO: A Dynamic Niching Particle Swarm Optimizer for multi-modal optimization | IEEE Conference Publication | IEEE Xplore

DNPSO: A Dynamic Niching Particle Swarm Optimizer for multi-modal optimization


Abstract:

In this paper, a new variant of the PSO algorithm called dynamic niching particle swarm optimizer (DNPSO) is proposed. Similar to basic PSO, DNPSO is a global optimizatio...Show More

Abstract:

In this paper, a new variant of the PSO algorithm called dynamic niching particle swarm optimizer (DNPSO) is proposed. Similar to basic PSO, DNPSO is a global optimization algorithm in which the main population of the particles is divided into some sub-swarms and a group of free particles. A new sub-swarm forming algorithm is proposed. This new form of sub-swarm creation, combined with free particles which implement a cognition-only model of PSO, brings about a great balance between exploration and exploitation characteristics of the standard PSO. DNPSO is tested with some well-known and widely used benchmark functions and the results are compared with several PSO-based multi-modal optimization methods. The results show that in all cases, DNPSO provides the best solutions.
Date of Conference: 01-06 June 2008
Date Added to IEEE Xplore: 23 September 2008
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Conference Location: Hong Kong, China

References

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