A fuzzy differential evolution method with dynamic adaptation of parameters for the optimization of fuzzy controllers

Author

Ochoa, Patricia ; Castillo, Oscar ; Soria, Jose

Author_Institution

Tijuana Inst. of Technol., Tijuana, Mexico

fYear

2014

fDate

24-26 June 2014

Firstpage

1

Lastpage

6

Abstract

In this paper a fuzzy system for dynamic adaptation of parameters is being developed for the optimization of the Differential Evolution (DE) algorithm. The main purpose of this work is to improve the Differential Evolution algorithm in which dynamic parameters of crossover and mutation will change in order to obtain better results. The Differential Evolution algorithm is an optimization method which belongs to the category of evolutionary computation and it´s usually applied in solving complex optimization problems.

Keywords

evolutionary computation; fuzzy control; optimisation; DE algorithm optimization; complex optimization problems; differential evolution algorithm optimization; dynamic crossover parameter; dynamic mutation parameter; fuzzy controller optimization; fuzzy differential evolution method; fuzzy system; Evolutionary computation; Fuzzy systems; Heuristic algorithms; Optimization; Sociology; Statistics; Vectors; Differential Evolution; Fuzzy Differential Evolution; Fuzzy logic;

fLanguage

English

Publisher

ieee

Conference_Titel

Norbert Wiener in the 21st Century (21CW), 2014 IEEE Conference on

Conference_Location

Boston, MA

Type

conf

DOI

10.1109/NORBERT.2014.6893893

Filename

6893893