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Adaptation of ant supercolony behavior to solve route assignment problem in integers

International Journal of Intelligent Computing and Cybernetics 2018年第3期11卷 423-442页

作者： Lahna Idres Mohammed Said Radjef Research Unit LaMOS Department of Operational ResearchExact Sciences FacultyBejaia UniversityBejaiaAlgeria

Purpose-Until now,the algorithms used to compute an equilibrate route assignment do not return an integer *** disagreement constitutes a non-negligible *** fact,it is shown in the literature that a fractional solution is not a good approximation of the integer *** purpose of this paper is to find an integer route ***/methodology/approach-The static route assignment problem is modeled as an asymmetric network congestion ***,an algorithm inspired from ant supercolony behavior is constructed,in order to compute an approximation of the Pure Nash Equilibrium(PNE)of the considered *** variants of the algorithm,which differ by their initializing steps and/or the kind of the provided algorithm information,are ***-An evaluation of these variants over different networks is conduced and the obtained results are ***,the adaptation of ant supercolony behavior to solve the problem under consideration shows interesting results,since most of the algorithm’s variants returned high-quality approximation of PNE in more than 91 percent of the treated ***/value-The asymmetric network congestion game is used to model route assignment *** algorithm with several variants inspired from ant supercolony behavior is *** the classical ant colony algorithms where there is one nest,herein,several nests are *** deposit pheromone of an ant from a given nest is useful for the ants of the other nests.

关键词： Game theory ant supercolony e-Pure Nash Equilirium Integer route assignment

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