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


Ontology type: schema:Chapter     


Chapter Info

DATE

2017-10-04

AUTHORS

Camelia-M. Pintea , Oliviu Matei , Rabie A. Ramadan , Mario Pavone , Muaz Niazi , Ahmad Taher Azar

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. More... »

PAGES

87-95

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-319-62524-9_8

DOI

http://dx.doi.org/10.1007/978-3-319-62524-9_8

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1092053566


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