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A skewed general variable neighborhood search algorithm with fixed threshold for the heterogeneous fleet vehicle routing problem

Houda Derbel (), Bassem Jarboui () and Rim Bhiri ()
Additional contact information
Houda Derbel: MODILS, FSEGS
Bassem Jarboui: Emirates College of Technology
Rim Bhiri: MODILS, FSEGS

Annals of Operations Research, 2019, vol. 272, issue 1, No 12, 243-272

Abstract: Abstract This article considers the heterogeneous fleet vehicle routing problem, as a variant of a well-known transportation problem: the vehicle routing problem. In order to solve this particular routing problem, a variable neighborhood search with a threshold accepting mechanism is developed and implemented. The performance of the algorithm was compared to other algorithms and tested on datasets from the available literature. Computational results show that our proposed algorithm is competitive and generates new best solutions.

Keywords: Metaheuristics; Heterogeneous fleet; Routing; Variable neighborhood search (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (4)

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DOI: 10.1007/s10479-017-2576-2

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