You are in:Home/Publications/Pintea CM, Matei O, Ramadan RA, Pavone M, Niazi M, Azar AT (2016) A Fuzzy Approach of Sensitivity for Multiple Colonies on Ant Colony Optimization. 7th International Workshop on Soft Computing Applications, August 24-26, Arad, Romania.

Dr. Assoc. Prof. Ahmad Taher Azar :: Publications:

Title:
Pintea CM, Matei O, Ramadan RA, Pavone M, Niazi M, Azar AT (2016) A Fuzzy Approach of Sensitivity for Multiple Colonies on Ant Colony Optimization. 7th International Workshop on Soft Computing Applications, August 24-26, Arad, Romania.
Authors: Pintea CM, Matei O, Ramadan RA, Pavone M, Niazi M, Azar AT
Year: 2016
Keywords: Ant Colony Optimization · Stigmergy · Sensitivity · Uncertainty · Fuzzy Data · Traveling Salesman Problem · Combinatorial Optimization Problems
Journal: Not Available
Volume: Not Available
Issue: Not Available
Pages: Not Available
Publisher: Not Available
Local/International: International
Paper Link: Not Available
Full paper Not Available
Supplementary materials Not Available
Abstract:

In order to solve combinatorial optimization problem are used mainly hybrid heuristics. Inspired from nature, both genetic and ant colony algorithms could be used in a hybrid model by using their benefits. The paper introduces a new model of Ant Colony Optimization using multiple colonies with different level of sensitivity to the ant’s pheromone. The colonies react different to the changing environment, based on their level of sensitivity and thus the exploration of the solution space is extended. Several discussion follows about the fuzziness degree of sensitivity and its influence on the solution of a complex problem.

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