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Magnetic Particle Swarm Optimization

Prampero P. S., Attux R.

Journal of Artificial Intelligence and Soft Computing Research

2012

Vol. 2, No. 1

59--72

This paper presents and analyzes a search paradigm called Magnetic Particle Swarm Optimization. This paradigm gives support to two algorithms that combine elements of the behavior of magnetic dipoles within a framework that includes several elements that are known to be essential to effective multimodal search. The algorithms are applied to a variety of functions and their performance is compared with those of a number of related well-established metaheuristics. In addition to that, convergence and sensitivity analyses are presented for the first time.