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The effect of updating the local pheromone on ACS performance using fuzzy logic

Titre	The effect of updating the local pheromone on ACS performance using fuzzy logic
Publication Type	Journal Article
Year of Publication	2017
Authors	A. Afia, E, Bouzbita, S, Faizi, R
Journal	International Journal of Electrical and Computer Engineering
Volume	7
Pagination	2161-2168
Abstract	Fuzzy Logic Controller (FLC) has become one of the most frequently utilised algorithms to adapt the metaheuristics parameters as an artificial intelligence technique. In this paper, the Ξ parameter of Ant Colony System (ACS) algorithm is adapted by the use of FLC, and its behaviour is studied during this adaptation. The proposed approach is compared with the standard ACS algorithm. Computational results are done based on a library of sample instances for the Traveling Salesman Problem (TSPLIB). Copyright © 2017 Institute of Advanced Engineering and Science. All rights reserved.
URL	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85030845141&doi=10.11591%2fijece.v7i4.pp2161-2168&partnerID=40&md5=b3dc47e58e78c530f0c597ab93eda8bf
DOI	10.11591/ijece.v7i4.pp2161-2168