An interval type-2 fuzzy logic system for dynamic parameter adaptation in particle swarm optimization

In this paper we propose an interval type-2 fuzzy logic system for dynamic parameter adaptation in particle swarm optimization (PSO); the main contribution of this paper is an improvement of PSO in its abilities to search in a global and local fashion, by dynamically changing some of its parameters using an interval type-2 fuzzy logic system.