Dynamic parameter adaptation in Ant Colony Optimization using a fuzzy system for TSP problems

DOI

10.2991/ifsa-eusflat-15.2015.108How to use a DOI?

Keywords

Fuzzy system, Ant colony optimization, dynamic parameter daptation, ACO.

Abstract

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 meta-heuristic). 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.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Frumen Olivas
AU  - Fevrier Valdez
AU  - Oscar Castillo
PY  - 2015/06
DA  - 2015/06
TI  - Dynamic parameter adaptation in Ant Colony Optimization using a fuzzy system for TSP problems
BT  - Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology
PB  - Atlantis Press
SP  - 765
EP  - 770
SN  - 1951-6851
UR  - https://doi.org/10.2991/ifsa-eusflat-15.2015.108
DO  - 10.2991/ifsa-eusflat-15.2015.108
ID  - Olivas2015/06
ER  -