Harmony search for multi-depot vehicle routing problem

This study considers the multi-depot vehicle routing problem in supply chain network design. Vehicle routing is one of the important system in supply chain. The objective is to find the minimum distance travelled by the vehicles, from the depot to the customers. We proposed an improved harmony searc...

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Main Authors: Misni, F., Lee, L. S.
Format: Article
Published: Universiti Putra Malaysia, Institute for Mathematical Research 2019
Online Access:http://psasir.upm.edu.my/id/eprint/80035/
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author Misni, F.
Lee, L. S.
author_facet Misni, F.
Lee, L. S.
author_sort Misni, F.
building UPM Institutional Repository
collection Online Access
description This study considers the multi-depot vehicle routing problem in supply chain network design. Vehicle routing is one of the important system in supply chain. The objective is to find the minimum distance travelled by the vehicles, from the depot to the customers. We proposed an improved harmony search algorithm for solving this problem. Firstly, the Clarke & Wright saving algorithm is used for the initialisation of a solution vector in harmony search. Three simple heuristics approaches; swapping, insertion and relocation are proposed as the local optimisation techniques during the implementation of the harmony search. The roulette wheel approach is implemented for the selection procedure. Computational experiments are conducted using the benchmark dataset of Cordeau's problem instances. Computational results show that the proposed harmony search algorithm is comparable to other metaheuristic approaches from the literature.
first_indexed 2025-11-15T12:19:25Z
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institution Universiti Putra Malaysia
institution_category Local University
last_indexed 2025-11-15T12:19:25Z
publishDate 2019
publisher Universiti Putra Malaysia, Institute for Mathematical Research
recordtype eprints
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spelling upm-800352023-07-04T05:44:26Z http://psasir.upm.edu.my/id/eprint/80035/ Harmony search for multi-depot vehicle routing problem Misni, F. Lee, L. S. This study considers the multi-depot vehicle routing problem in supply chain network design. Vehicle routing is one of the important system in supply chain. The objective is to find the minimum distance travelled by the vehicles, from the depot to the customers. We proposed an improved harmony search algorithm for solving this problem. Firstly, the Clarke & Wright saving algorithm is used for the initialisation of a solution vector in harmony search. Three simple heuristics approaches; swapping, insertion and relocation are proposed as the local optimisation techniques during the implementation of the harmony search. The roulette wheel approach is implemented for the selection procedure. Computational experiments are conducted using the benchmark dataset of Cordeau's problem instances. Computational results show that the proposed harmony search algorithm is comparable to other metaheuristic approaches from the literature. Universiti Putra Malaysia, Institute for Mathematical Research 2019 Article PeerReviewed Misni, F. and Lee, L. S. (2019) Harmony search for multi-depot vehicle routing problem. Malaysian Journal of Mathematical Sciences, 13 (3). pp. 311-328. ISSN 1823-8343 https://mjms.upm.edu.my/lihatmakalah.php?kod=2019/September/13/3/311-328
spellingShingle Misni, F.
Lee, L. S.
Harmony search for multi-depot vehicle routing problem
title Harmony search for multi-depot vehicle routing problem
title_full Harmony search for multi-depot vehicle routing problem
title_fullStr Harmony search for multi-depot vehicle routing problem
title_full_unstemmed Harmony search for multi-depot vehicle routing problem
title_short Harmony search for multi-depot vehicle routing problem
title_sort harmony search for multi-depot vehicle routing problem
url http://psasir.upm.edu.my/id/eprint/80035/
http://psasir.upm.edu.my/id/eprint/80035/