Particle swarm optimization with disagreements

Authors:
Andrei Lihu;Stefan Holban
Affiliations:
Department of Computer Science, Politehnica University of Timisoara, Timisoara, Romania;Department of Computer Science, Politehnica University of Timisoara, Timisoara, Romania
Venue:
ICSI'11 Proceedings of the Second international conference on Advances in swarm intelligence - Volume Part I
Year:
2011

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Abstract

This paper introduces an enhancement to the particle swarm optimization algorithms that models a characteristic of social groups: the disagreements between individuals. After a short introduction, we describe the new concept theoretically and define a special type of particle swarm optimization with disagreements: the 6s-PSOD. Based on it, we conduct some tests proving that it can perform better, having strengthened neighborhood focus using partial disagreements and enhanced exploration capabilities through extreme disagreements.