Title :
A fuzzy system for parameter adaptation in ant colony optimization
Author :
Olivas, Frumen ; Valdez, Fevrier ; Castillo, Oscar
Author_Institution :
Tijuana Inst. of Technol., Tijuana, Mexico
Abstract :
In this paper we propose a fuzzy system for parameter adaptation in ant colony optimization (ACO). ACO is a method inspired in the behavior of ant colonies to find food and its objective are discrete optimization problems. We developed various fuzzy systems for parameter adaptation and in this paper a comparison was made between them. The use of a fuzzy system is to control the diversity of the solutions, this is, control the ability of exploration and exploitation of the ant colony.
Keywords :
ant colony optimisation; fuzzy systems; ACO; ant colonies behavior; ant colony exploitation; ant colony exploration; ant colony optimization; discrete optimization problems; fuzzy system; parameter adaptation; Ant colony optimization; Cities and towns; Fuzzy systems; Input variables; Optimization; Standards; Traveling salesman problems; ACO; Ant colony optimization; Fuzzy system; parameter adaptation;
Conference_Titel :
Swarm Intelligence (SIS), 2014 IEEE Symposium on
Conference_Location :
Orlando, FL
DOI :
10.1109/SIS.2014.7011780
