Title :
A new methodology for membership function design using Ant Colony Optimization
Author :
Lizarraga Olivas, Evelia ; Castillo, Oscar ; Soria, Jose ; Melin, Patricia
Author_Institution :
Tijuana Inst. of Technol., Tijuana, Mexico
Abstract :
In this paper we describe a new methodology to optimize fuzzy logic controllers using Ant Colony Optimization (ACO); in particular, the fuzzy logic controller for the water tank benchmark problem. The proposed methodology is applied in the optimization of membership function parameters and type of membership functions, using a set of constraints for the construction of the solution matrix of an ACO algorithm.
Keywords :
fuzzy control; optimisation; tanks (containers); water storage; ACO algorithm; ant colony optimization; fuzzy logic controller optimization; membership function design; membership function parameters; solution matrix; water tank benchmark problem; Ant colony optimization; Cities and towns; Fuzzy logic; Fuzzy systems; Optimization; Shape; Storage tanks; Ant Colony Optimization; evolutive computation; fuzzy control systems;
Conference_Titel :
Swarm Intelligence (SIS), 2013 IEEE Symposium on
Conference_Location :
Singapore
DOI :
10.1109/SIS.2013.6615157
