Abstract
This paper describes the metaheuristic of Optimization by Swarm of Particles (PSO-Particle Swarm Optimization) and its variants (Clamping speed, inertia and constriction coefficient) as an optimization strategy to design the membership functions of Benchmark Control Cases (Tank water and Inverted Pendulum) Each of the variants have their own advantages within the algorithm because they allow the exploration and exploitation in different ways and this allows us to find the optimum.
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Fierro, R., Castillo, O. (2013). Design of Fuzzy Control Systems with Different PSO Variants. In: Castillo, O., Melin, P., Kacprzyk, J. (eds) Recent Advances on Hybrid Intelligent Systems. Studies in Computational Intelligence, vol 451. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33021-6_6
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DOI: https://doi.org/10.1007/978-3-642-33021-6_6
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-33020-9
Online ISBN: 978-3-642-33021-6
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