CISUC - An Empirical Comparison of Particle Swarm and Predator Prey Optimisation
CISUC

An Empirical Comparison of Particle Swarm and Predator Prey Optimisation

Authors

Abstract

In this paper we present and discuss the results of experimentally
comparing the performance of several variants of the standard swarm particle
optimiser and a new approach to swarm based optimisation. The new algorithm,
which we call predator prey optimiser, combines the ideas of particle swarm optimisation
with a predator prey inspired strategy, which is used to maintain diversity
in the swarm and preventing premature convergence to local suboptima.
This algorithm and the most common variants of the particle swarm
optimisers are tested in a set of multimodal functions commonly used as
benchmark optimisation problems in evolutionary computation.

Keywords

PSO

Subject

Particle Swarm Optimization

Conference

AICS 2002, September 2002

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Cited by

Year 2010 : 2 citations

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Year 2008 : 5 citations

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Year 2007 : 7 citations

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Year 2006 : 5 citations

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Year 2004 : 5 citations

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