The competing travelling salespersons problem under multi-criteria

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Abstract

This paper introduces a novel type of a problem in which two travelling salespersons are competing, where each of them has two conflicting objectives. This problem is categorized as a Multi-Objective Game (MOG). It is solved by a non-utility approach, which has recently been introduced. According to this method all rationalizable strategies are initially found, to support posteriori decision on a strategy. An evolutionary algorithm is proposed to search for the set of rationalizable strategies. The applicability of the suggested algorithm is successfully demonstrated on the presented new type of problem.

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Matalon-Eisenstadt, E., Moshaiov, A., & Avigad, G. (2016). The competing travelling salespersons problem under multi-criteria. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9921 LNCS, pp. 463–472). Springer Verlag. https://doi.org/10.1007/978-3-319-45823-6_43

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