Staff Members - Benha University
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.
Advances in Intelligent Systems and Computing • 2018
Publication Information
Authors
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Keywords
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Journal
Advances in Intelligent Systems and Computing
Publisher
Springer
Volume
634
Issue
Not Available
Pages
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publication.type
International
Paper Link
Open Link
Supplementary Materials
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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.