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dc.creatorPolychronis G., Lalis S.en
dc.date.accessioned2023-01-31T09:50:24Z
dc.date.available2023-01-31T09:50:24Z
dc.date.issued2020
dc.identifier.isbn9789897584190
dc.identifier.urihttp://hdl.handle.net/11615/78299
dc.description.abstractThe multiple Travelling Salesman Problem (mTSP) is a generalization of the classic TSP problem, where the cities in question are visited using a team of salesmen, each one following a different, complementary route. Several algorithms have been proposed to address this problem, based on different heuristics. In this paper, we propose a new algorithm that employs the generic tournament selection heuristic principle, hybridized with a large neighbourhood search method to iteratively evolve new solutions. We describe the proposed algorithm in detail, and compare it with a state-of-the-art algorithm for a wide range of public benchmarks. Our results show that the proposed heuristic manages to produce solutions of the same or better quality at a significantly lower runtime overhead. These improvements hold for Euclidean as well as for general topologies. © 2020 by SCITEPRESS - Science and Technology Publications, Lda. All rights reserveden
dc.language.isoenen
dc.sourceVEHITS 2020 - Proceedings of the 6th International Conference on Vehicle Technology and Intelligent Transport Systemsen
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85090790526&partnerID=40&md5=b14a7f356c4066eb325b7fdb1b5d2eda
dc.subjectHeuristic methodsen
dc.subjectIntelligent systemsen
dc.subjectIntelligent vehicle highway systemsen
dc.subjectIterative methodsen
dc.subjectTraffic controlen
dc.subjectGeneral topologyen
dc.subjectHeuristic principleen
dc.subjectLarge neighbourhood searchesen
dc.subjectNew solutionsen
dc.subjectRuntime overheadsen
dc.subjectState-of-the-art algorithmsen
dc.subjectTournament selectionen
dc.subjectTravelling salesman problemen
dc.subjectTraveling salesman problemen
dc.subjectSciTePressen
dc.titleTournament selection algorithm for the multiple travelling salesman problemen
dc.typeconferenceItemen


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