An Improved Clarke and Wright Algorithm to Solve the Capacitated Vehicle Routing Problem

This paper proposes an effective hybrid approach that combines domain reduction with the Clarke and Wright algorithm to solve the capacitated vehicle routing problem. The hybrid approach is applied to solve 10 benchmark capacitated vehicle routing problem instances. The dimension of the instances wa...

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Main Authors: Caccetta, Louis, Alameen, M., Abdul-Niby, M.
Format: Journal Article
Published: ETASR 2013
Online Access:http://etasr.com/index.php/ETASR/article/view/292
http://hdl.handle.net/20.500.11937/26323
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author Caccetta, Louis
Alameen, M.
Abdul-Niby, M.
author_facet Caccetta, Louis
Alameen, M.
Abdul-Niby, M.
author_sort Caccetta, Louis
building Curtin Institutional Repository
collection Online Access
description This paper proposes an effective hybrid approach that combines domain reduction with the Clarke and Wright algorithm to solve the capacitated vehicle routing problem. The hybrid approach is applied to solve 10 benchmark capacitated vehicle routing problem instances. The dimension of the instances was between 21 to 200 customers. The results show that domain reduction can improve the classical Clarke and Wright algorithm by about 18%. The hybrid approach improves the large instances significantly in comparison with the smaller size instances. This paper will not show the time taken to solve each instance, as the Clarke and Wright algorithm and the hybrid approach took almost the same CPU time.
first_indexed 2025-11-14T08:00:55Z
format Journal Article
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institution Curtin University Malaysia
institution_category Local University
last_indexed 2025-11-14T08:00:55Z
publishDate 2013
publisher ETASR
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spelling curtin-20.500.11937-263232017-01-30T12:52:50Z An Improved Clarke and Wright Algorithm to Solve the Capacitated Vehicle Routing Problem Caccetta, Louis Alameen, M. Abdul-Niby, M. This paper proposes an effective hybrid approach that combines domain reduction with the Clarke and Wright algorithm to solve the capacitated vehicle routing problem. The hybrid approach is applied to solve 10 benchmark capacitated vehicle routing problem instances. The dimension of the instances was between 21 to 200 customers. The results show that domain reduction can improve the classical Clarke and Wright algorithm by about 18%. The hybrid approach improves the large instances significantly in comparison with the smaller size instances. This paper will not show the time taken to solve each instance, as the Clarke and Wright algorithm and the hybrid approach took almost the same CPU time. 2013 Journal Article http://hdl.handle.net/20.500.11937/26323 http://etasr.com/index.php/ETASR/article/view/292 ETASR restricted
spellingShingle Caccetta, Louis
Alameen, M.
Abdul-Niby, M.
An Improved Clarke and Wright Algorithm to Solve the Capacitated Vehicle Routing Problem
title An Improved Clarke and Wright Algorithm to Solve the Capacitated Vehicle Routing Problem
title_full An Improved Clarke and Wright Algorithm to Solve the Capacitated Vehicle Routing Problem
title_fullStr An Improved Clarke and Wright Algorithm to Solve the Capacitated Vehicle Routing Problem
title_full_unstemmed An Improved Clarke and Wright Algorithm to Solve the Capacitated Vehicle Routing Problem
title_short An Improved Clarke and Wright Algorithm to Solve the Capacitated Vehicle Routing Problem
title_sort improved clarke and wright algorithm to solve the capacitated vehicle routing problem
url http://etasr.com/index.php/ETASR/article/view/292
http://hdl.handle.net/20.500.11937/26323