Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.13087/1754
Title: MULTIOBJECTIVE MATHEMATICAL MODELS AND SOLUTION APPROACHES FOR HETEROGENEOUS FIXED FLEET VEHICLE ROUTING PROBLEMS
Authors: Takan, Melis Alpaslan
Kasımbeyli, Refail
Keywords: Vehicle routing problem
multiobjective optimization
tabu search algorithm
Issue Date: 2021
Publisher: Amer Inst Mathematical Sciences-Aims
Abstract: In this paper, we study three types of heterogeneous fixed fleet vehicle routing problems, which are capacitated vehicle routing problem, open vehicle routing problem and split delivery vehicle routing problem. We propose new multiobjective linear binary and mixed integer programming models for these problems, where the first objective is the minimization of a total routing and usage costs for vehicles, and the second one is the vehicle type minimization, respectively. The proposed mathematical models are all illustrated on test problems, which are investigated in two groups: small-sized problems and the large-sized ones. The small-sized test problems are first scalarized by using the weighted sum scalarization method, and then GAMS software is used to compute efficient solutions. The large-sized test problems are solved by utilizing the tabu search algorithm.
URI: https://doi.org/10.3934/jimo.2020059
https://hdl.handle.net/20.500.13087/1754
ISSN: 1547-5816
1553-166X
Appears in Collections:Matematik Bölümü Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu
WoS İndeksli Yayınlar Koleksiyonu

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