Optimization of fuzzy control systems with different variants of Particle Swarm Optimization
Resffa Fierro, Oscar Castillo, Fevrier Valdez · 2013
This paper describes a metaheuristic for Particle Swarm Optimization (PSO) and two of its variants (inertia and the constriction ratio) as an optimization strategy for designing the membership functions of optimal Fuzzy Control Systems specifically for the water tank. Each of the variants has its own advantages within the algorithm because they enable the exploration and exploitation in different ways and this allows us to find the optimum in a better way.