Dynamic parameter adaptation in Ant Colony Optimization using a fuzzy system for TSP problems
Frumen Olivas, Fevrier Valdez, Oscar Castillo · Advances in intelligent systems research/Advances in Intelligent Systems Research · 2015
Fuzzy logic has been a useful tool for modeling complex problems, with the use of fuzzy variables and fuzzy rules, and in this paper we use a fuzzy system for parameter adaptation in the Ant Colony Optimization (ACO metaheuristic).In this case we perform the dynamic adaptation of Alpha and Rho parameters; this is to control the abilities of ACO to perform a global and local search.Simulation results show the advantage of the use of a fuzzy system for parameter adaptation.