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- W2574006429 abstract "abstract We introduce the Multiple Traveling Salesmen and Districting Problem with Multi-periods and Multi-depots. In this problem, the compactness of the subdistricts, the dissimilarity measure of districts and anequity measure of salesmen profit are considered as part of the objective function, and the salesmantravel cost on each subdistrict is approximated by the Beardwood–Halton–Hammersley formula. Anadaptive large neighbourhood search metaheuristic is developed for the problem. It was tested onmodified Solomon and Gehring & Homberger instances. Computational results confirm the effectivenessof the proposed metaheuristic.& 2014 Elsevier Ltd. All rights reserved. 1. IntroductionThe problem considered in this paper is the Multiple TravelingSalesman and Districting Problem with Multi-Periods and Multi-Depots, where the customers of a sales territory dynamically evolveover the periods of a planning horizon. The problem consists ofdesigning districts and subdistricts for a multiple traveling salesmanproblemwith dynamic customers over several periods. Each salesmanservices all customers of his district over the planning horizon butperforms a single route in a subdist rict in each period. The customerson the territory vary dynamically over the planning horizon. A pro-portion" @default.
- W2574006429 created "2017-01-26" @default.
- W2574006429 date "2003-09-01" @default.
- W2574006429 modified "2023-09-26" @default.
- W2574006429 title "Computers & Operations Research" @default.
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- W2574006429 doi "https://doi.org/10.1016/s0305-0548(03)00140-0" @default.
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