Dynamic parameter adaptation in Ant Colony Optimization using a fuzzy system for TSP problems
- https://doi.org/10.2991/ifsa-eusflat-15.2015.108How to use a DOI?
- Fuzzy system, Ant colony optimization, dynamic parameter daptation, ACO.
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.
- © 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/).
Cite this article
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 - https://doi.org/10.2991/ifsa-eusflat-15.2015.108 ID - Olivas2015/06 ER -