dc.contributor.author |
Fleszar K. |
dc.contributor.author |
Osman I.H. |
dc.contributor.author |
Hindi K.S. |
dc.contributor.editor |
|
dc.date |
2009 |
dc.date.accessioned |
2017-09-07T07:51:44Z |
dc.date.available |
2017-09-07T07:51:44Z |
dc.date.issued |
2009 |
dc.identifier |
10.1016/j.ejor.2007.06.064 |
dc.identifier.isbn |
|
dc.identifier.issn |
03772217 |
dc.identifier.uri |
http://hdl.handle.net/10938/12321 |
dc.description.abstract |
In the open vehicle routing problem (OVRP), the objective is to minimise the number of vehicles and then minimise the total distance (or time) travelled. Each route starts at the depot and ends at a customer, visiting a number of customers, each once, en route, without returning to the depot. The demand of each customer must be completely fulfilled by a single vehicle. The total demand serviced by each vehicle must not exceed vehicle capacity. Additionally, in one variant of the problem, the travel time of each vehicle should not exceed an upper limit. An effective variable neighbourhood search (VNS) heuristic for this problem is proposed. The neighbourhoods are based on reversing segments of routes (sub-routes) and exchanging segments between routes. Computational results on sixteen standard benchmark problem instances show that the proposed VNS is comparable in terms of solution quality to the best performing published heuristics. © 2007 Elsevier B.V. All rights reserved. |
dc.format.extent |
|
dc.format.extent |
Pages: (803-809) |
dc.language |
English |
dc.publisher |
AMSTERDAM |
dc.relation.ispartof |
Publication Name: European Journal of Operational Research; Publication Year: 2009; Volume: 195; no. 3; Pages: (803-809); |
dc.relation.ispartofseries |
|
dc.relation.uri |
|
dc.source |
Scopus |
dc.subject.other |
|
dc.title |
A variable neighbourhood search algorithm for the open vehicle routing problem |
dc.type |
Article |
dc.contributor.affiliation |
Fleszar, K., School of Business, American University of Beirut (AUB), P.O. Box 11-0236, Riad El Solh, Beirut 1107 2020, Lebanon |
dc.contributor.affiliation |
Osman, I.H., School of Business, American University of Beirut (AUB), P.O. Box 11-0236, Riad El Solh, Beirut 1107 2020, Lebanon |
dc.contributor.affiliation |
Hindi, K.S., Faculty of Engineering and Architecture, School of Business, American University of Beirut (AUB), P.O. Box 11-0236, Riad El Solh, Beirut 1107 2020, Lebanon |
dc.contributor.authorAddress |
Fleszar, K.; School of Business, American University of Beirut (AUB), P.O. Box 11-0236, Riad El Solh, Beirut 1107 2020, Lebanon; email: kf09@aub.edu.lb |
dc.contributor.authorCorporate |
University: American University of Beirut; Faculty: Suliman S. Olayan School of Business; Department: School of Business; |
dc.contributor.authorDepartment |
School of Business |
dc.contributor.authorDivision |
|
dc.contributor.authorEmail |
kf09@crub.edu.lb |
dc.contributor.faculty |
Suliman S. Olayan School of Business |
dc.contributor.authorInitials |
Fleszar, K |
dc.contributor.authorInitials |
Osman, IH |
dc.contributor.authorInitials |
Hindi, KS |
dc.contributor.authorOrcidID |
Fleszar, Krzysztof-0000-0001-8863-6756 |
dc.contributor.authorReprintAddress |
Fleszar, K (reprint author), Amer Univ Beirut, Sch Business, POB 11-0236 Riad El Solh, Beirut 11072020, Lebanon. |
dc.contributor.authorResearcherID |
Fleszar, Krzysztof-B-8260-2012 |
dc.contributor.authorUniversity |
American University of Beirut |
dc.description.cited |
Brandao J, 2004, EUR J OPER RES, V157, P552, DOI 10.1016-S0377-2217(03)00238-8; Braysy O, 2003, INFORMS J COMPUT, V15, P347, DOI 10.1287-ijoc.15.4.347.24896; Christofides N., 1979, COMBINATORIAL OPTIMI, P313; Crispim J, 2005, J OPER RES SOC, V56, P1296, DOI 10.1057-palgrave.jors.2601935; DONGARRA J, 2006, PERFORMANCE VARIOUS; FISHER ML, 1994, OPER RES, V42, P626, DOI 10.1287-opre.42.4.626; Fleszar K, 2002, COMPUT OPER RES, V29, P821, DOI 10.1016-S0305-0548(00)00082-4; Fleszar K, 2008, EUR J OPER RES, V191, P612, DOI 10.1016-j.ejor.2006.12.055; Fu Z, 2006, J OPER RES SOC, V57, P1018, DOI 10.1057-palgrave.jors.2602181; Fu Z, 2005, J OPER RES SOC, V56, P267, DOI 10.1057-palgrave.jors.2601817; GENDREAU M, 1994, MANAGE SCI, V40, P1276, DOI 10.1287-mnsc.40.10.1276; GENDREAU M, 1992, OPER RES, V40, P1086, DOI 10.1287-opre.40.6.1086; Kolisch R, 1996, NAV RES LOG, V43, P23, DOI 10.1002-(SICI)1520-6750(199602)43:123::AID-NAV23.0.CO;2-P; Kytojoki J, 2007, COMPUT OPER RES, V34, P2743, DOI 10.1016-j.cor.2005.10.010; Li FY, 2007, COMPUT OPER RES, V34, P2918, DOI 10.1016-j.cor.2005.11.018; Mladenovic N, 1997, COMPUT OPER RES, V24, P1097, DOI 10.1016-S0305-0548(97)00031-2; Pisinger D, 2007, COMPUT OPER RES, V34, P2403, DOI 10.1016-j.cor.2005.09.012; Polacek M, 2004, J HEURISTICS, V10, P613, DOI 10.1007-s10732-005-5432-5; Sariklis D, 2000, J OPER RES SOC, V51, P564; SCHRAGE L, 1981, NETWORKS, V11, P229, DOI 10.1002-net.3230110212; Syslo M. M., 1983, DISCRETE OPTIMIZATIO; Tarantilis CD, 2005, J OPER RES SOC, V56, P588, DOI 10.1057-palgrave.jors.2601848 |
dc.description.citedCount |
55 |
dc.description.citedTotWOSCount |
45 |
dc.description.citedWOSCount |
44 |
dc.format.extentCount |
7 |
dc.identifier.articleNo |
|
dc.identifier.coden |
EJORD |
dc.identifier.pubmedID |
|
dc.identifier.scopusID |
56349100703 |
dc.identifier.url |
|
dc.publisher.address |
PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS |
dc.relation.ispartofConference |
|
dc.relation.ispartofConferenceCode |
|
dc.relation.ispartofConferenceDate |
|
dc.relation.ispartofConferenceHosting |
London Sch Econ |
dc.relation.ispartofConferenceLoc |
|
dc.relation.ispartofConferenceSponsor |
|
dc.relation.ispartofConferenceTitle |
|
dc.relation.ispartofFundingAgency |
|
dc.relation.ispartOfISOAbbr |
Eur. J. Oper. Res. |
dc.relation.ispartOfIssue |
3 |
dc.relation.ispartOfPart |
|
dc.relation.ispartofPubTitle |
European Journal of Operational Research |
dc.relation.ispartofPubTitleAbbr |
Eur J Oper Res |
dc.relation.ispartOfSpecialIssue |
|
dc.relation.ispartOfSuppl |
|
dc.relation.ispartOfVolume |
195 |
dc.source.ID |
WOS:000261941400015 |
dc.type.publication |
Journal |
dc.subject.otherAuthKeyword |
Metaheuristics |
dc.subject.otherAuthKeyword |
Variable neighbourhood search |
dc.subject.otherAuthKeyword |
Vehicle routing |
dc.subject.otherChemCAS |
|
dc.subject.otherIndex |
Benchmarking |
dc.subject.otherIndex |
Customer satisfaction |
dc.subject.otherIndex |
Heuristic methods |
dc.subject.otherIndex |
Learning algorithms |
dc.subject.otherIndex |
Network routing |
dc.subject.otherIndex |
Routing algorithms |
dc.subject.otherIndex |
Sales |
dc.subject.otherIndex |
Vehicles |
dc.subject.otherIndex |
Computational results |
dc.subject.otherIndex |
En routes |
dc.subject.otherIndex |
Metaheuristics |
dc.subject.otherIndex |
Number of vehicles |
dc.subject.otherIndex |
Open vehicle routing problems |
dc.subject.otherIndex |
Solution qualities |
dc.subject.otherIndex |
Standard benchmarks |
dc.subject.otherIndex |
Travel times |
dc.subject.otherIndex |
Upper limits |
dc.subject.otherIndex |
Variable neighbourhood search |
dc.subject.otherIndex |
Variable neighbourhood searches |
dc.subject.otherIndex |
Vehicle capacities |
dc.subject.otherIndex |
Vehicle routing |
dc.subject.otherKeywordPlus |
SCHEDULING PROBLEMS |
dc.subject.otherKeywordPlus |
TIME WINDOWS |
dc.subject.otherWOS |
Management |
dc.subject.otherWOS |
Operations Research and Management Science |
dc.identifier.doi |
https://doi.org/10.1016/j.ejor.2007.06.064 |