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

A Fuzzy Approach of Sensitivity for Multiple Colonies on Ant Colony Optimization

PAVONE, MARIO FRANCESCO;
2018

Abstract

In order to solve combinatorial optimization problem areused mainly hybrid heuristics. Inspired from nature, both genetic andant colony algorithms could be used in a hybrid model by using theirbenefits. The paper introduces a new model of Ant Colony Optimizationusing multiple colonies with different level of sensitivity to the ant’spheromone. The colonies react different to the changing environment,based on their level of sensitivity and thus the exploration of the solutionspace is extended. Several discussion follows about the fuzziness degreeof sensitivity and its influence on the solution of a complex problem.
978-3-319-62523-2
978-3-319-62524-9
Ant Colony Optimization; multiple colonies; metaheuristics
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.11769/72507
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