Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology

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

Authors
Frumen Olivas, Fevrier Valdez, Oscar Castillo
Corresponding Author
Frumen Olivas
Available Online June 2015.
DOI
https://doi.org/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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Volume Title
Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology
Series
Advances in Intelligent Systems Research
Publication Date
June 2015
ISBN
978-94-62520-77-6
ISSN
1951-6851
DOI
https://doi.org/10.2991/ifsa-eusflat-15.2015.108How to use a DOI?
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/).

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  -