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: Handl, J., Hart, E., Lewis, P., López-Ibáñez, M., Ochoa, G., Paechter, B. (eds) Parallel Problem Solving from Nature – PPSN XIV. PPSN 2016. Lecture Notes in Computer Science(), vol 9921. Springer, Cham. https://doi.org/10.1007/978-3-319-45823-6_43
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DOI: https://doi.org/10.1007/978-3-319-45823-6_43
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