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GECCO
2007
Springer

Understanding particle swarms through simplification: a study of recombinant PSO

9 years 3 months ago
Understanding particle swarms through simplification: a study of recombinant PSO
Simplified forms of the particle swarm algorithm are very beneficial in contributing to understanding of what makes a PSO swarm function in the way that it does. One of these forms, PSO with discrete recombination, is analyzed in depth, demonstrating not just improvements in performance to a standard PSO algorithm, but also significantly different behavior with a reduction in bursting patterns due to the removal of stochastic components from the update equations. This altered behavior accompanied by equal and improved performance leads to conjectures that bursts are not generally efficacious in the optimization process. Categories and Subject Descriptors I.2.8 [Artificial Intelligence]: Problem Solving, Control Methods and Search General Terms Optimisation Keywords Particle swarms, swarm optimisation
Daniel Bratton, Tim Blackwell
Added 16 Aug 2010
Updated 16 Aug 2010
Type Conference
Year 2007
Where GECCO
Authors Daniel Bratton, Tim Blackwell
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