You are in:Home/Publications/Pintea CM., Matei O., Ramadan R.A., Pavone M., Niazi M., Azar A.T. (2018) A Fuzzy Approach of Sensitivity for Multiple Colonies on Ant Colony Optimization. In: Balas V., Jain L., Balas M. (eds) Soft Computing Applications. SOFA 2016. Advances in Intelligent Systems and Computing, vol 634. Springer, Cham.

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

Title:
Pintea CM., Matei O., Ramadan R.A., Pavone M., Niazi M., Azar A.T. (2018) A Fuzzy Approach of Sensitivity for Multiple Colonies on Ant Colony Optimization. In: Balas V., Jain L., Balas M. (eds) Soft Computing Applications. SOFA 2016. Advances in Intelligent Systems and Computing, vol 634. Springer, Cham.
Authors: Not Available
Year: 2018
Keywords: Not Available
Journal: Advances in Intelligent Systems and Computing
Volume: 634
Issue: Not Available
Pages: Not Available
Publisher: Springer
Local/International: International
Paper Link:
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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