A variable neighbourhood search algorithm with compound neighbourhoods for VRPTW

The Vehicle Routing Problem with Time Windows (VRPTW) consists of constructing least cost routes from a depot to a set of geographically scattered service points and back to the depot, satisfying service time interval and capacity constraints. A Variable Neighbourhood Search algorithm with Compound...

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Main Authors: Chen, Binhui, Qu, Rong, Bai, Ruibin, Ishibuchi, Hisao
Format: Conference or Workshop Item
Published: 2016
Online Access:https://eprints.nottingham.ac.uk/33886/
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author Chen, Binhui
Qu, Rong
Bai, Ruibin
Ishibuchi, Hisao
author_facet Chen, Binhui
Qu, Rong
Bai, Ruibin
Ishibuchi, Hisao
author_sort Chen, Binhui
building Nottingham Research Data Repository
collection Online Access
description The Vehicle Routing Problem with Time Windows (VRPTW) consists of constructing least cost routes from a depot to a set of geographically scattered service points and back to the depot, satisfying service time interval and capacity constraints. A Variable Neighbourhood Search algorithm with Compound Neighbourhoods is proposed to solve VRPTW in this paper. A number of independent neighbourhood operators are composed into compound neighbourhood operators in a new way, to explore wider search area concerning two objectives (to minimize the number of vehicles and the total travel distance) simultaneously. Promising results are obtained on benchmark datasets
first_indexed 2025-11-14T19:20:48Z
format Conference or Workshop Item
id nottingham-33886
institution University of Nottingham Malaysia Campus
institution_category Local University
last_indexed 2025-11-14T19:20:48Z
publishDate 2016
recordtype eprints
repository_type Digital Repository
spelling nottingham-338862020-05-04T17:35:30Z https://eprints.nottingham.ac.uk/33886/ A variable neighbourhood search algorithm with compound neighbourhoods for VRPTW Chen, Binhui Qu, Rong Bai, Ruibin Ishibuchi, Hisao The Vehicle Routing Problem with Time Windows (VRPTW) consists of constructing least cost routes from a depot to a set of geographically scattered service points and back to the depot, satisfying service time interval and capacity constraints. A Variable Neighbourhood Search algorithm with Compound Neighbourhoods is proposed to solve VRPTW in this paper. A number of independent neighbourhood operators are composed into compound neighbourhood operators in a new way, to explore wider search area concerning two objectives (to minimize the number of vehicles and the total travel distance) simultaneously. Promising results are obtained on benchmark datasets 2016-02-25 Conference or Workshop Item PeerReviewed Chen, Binhui, Qu, Rong, Bai, Ruibin and Ishibuchi, Hisao (2016) A variable neighbourhood search algorithm with compound neighbourhoods for VRPTW. In: The 2016 International Conference on Operations Research and Enterprise Systems, 23-25 February 2016, Rome, Italy. http://www.scitepress.org/DigitalLibrary/PublicationsDetail.aspx?ID=SIa0Nd3aHTI=&t=1
spellingShingle Chen, Binhui
Qu, Rong
Bai, Ruibin
Ishibuchi, Hisao
A variable neighbourhood search algorithm with compound neighbourhoods for VRPTW
title A variable neighbourhood search algorithm with compound neighbourhoods for VRPTW
title_full A variable neighbourhood search algorithm with compound neighbourhoods for VRPTW
title_fullStr A variable neighbourhood search algorithm with compound neighbourhoods for VRPTW
title_full_unstemmed A variable neighbourhood search algorithm with compound neighbourhoods for VRPTW
title_short A variable neighbourhood search algorithm with compound neighbourhoods for VRPTW
title_sort variable neighbourhood search algorithm with compound neighbourhoods for vrptw
url https://eprints.nottingham.ac.uk/33886/
https://eprints.nottingham.ac.uk/33886/