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Multiple Choice Strategy Based PSO Algorithm with Chaotic Decision Making – A Preliminary Study

Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 239)

Abstract

In this paper, it is proposed the utilization of chaotic pseudo random number generators based on six selected discrete chaotic maps to enhance the performance of newly proposed multiple choice strategy based PSO algorithm. This research represents a continuation of previous successful experiments with the fusion of the PSO algorithm and chaotic systems. The performance of proposed algorithm is tested on a set of four test functions. Obtained promising results are presented, discussed and compared against the basic PSO strategy with inertia weight.

Keywords

PSO Chaos Optimization Swarm 

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  1. 1.Faculty of Applied InformaticsTomas Bata University in ZlinZlinCzech Republic

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