Title :
An interval type-2 fuzzy logic system for dynamic parameter adaptation in particle swarm optimization
Author :
Olivas, Frumen ; Valdez, Fevrier ; Castillo, Oscar
Author_Institution :
Tijuana Inst. of Technol., Tijuana, Mexico
Abstract :
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.
Keywords :
fuzzy logic; particle swarm optimisation; PSO; dynamic parameter adaptation; interval type-2 fuzzy logic system; particle swarm optimization; Convergence; Force; Fuzzy logic; Fuzzy systems; Particle swarm optimization; Social factors; Space exploration; Dynamic Parameter Adaptation; PSO; Particle Swarm Optimization; Type-2 Fuzzy Logic;
Conference_Titel :
Norbert Wiener in the 21st Century (21CW), 2014 IEEE Conference on
Conference_Location :
Boston, MA
DOI :
10.1109/NORBERT.2014.6893881
