Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.tre.2010.01.009
DC FieldValue
dc.titleThe continuous Berth Allocation Problem: A Greedy Randomized Adaptive Search Solution
dc.contributor.authorLee, D.-H.
dc.contributor.authorChen, J.H.
dc.contributor.authorCao, J.X.
dc.date.accessioned2014-06-17T08:26:19Z
dc.date.available2014-06-17T08:26:19Z
dc.date.issued2010-11
dc.identifier.citationLee, D.-H., Chen, J.H., Cao, J.X. (2010-11). The continuous Berth Allocation Problem: A Greedy Randomized Adaptive Search Solution. Transportation Research Part E: Logistics and Transportation Review 46 (6) : 1017-1029. ScholarBank@NUS Repository. https://doi.org/10.1016/j.tre.2010.01.009
dc.identifier.issn13665545
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/66280
dc.description.abstractIn this research, continuous and dynamic Berth Allocation Problem (BAP) is studied to minimize the total weighted flow time. Different from previous studies on continuous BAP, an efficient method is proposed to address the problem to identify the possible locations for next vessel in the Time-space diagram. Then two versions of Greedy Randomized Adaptive Search Procedure (GRASP) are developed to search for near optimal solutions. Both small and large scale numerical experiments are tested to examine the effectiveness of the proposed GRASPs by comparison with CPLEX and stochastic beam search, respectively. © 2010 Elsevier Ltd.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1016/j.tre.2010.01.009
dc.sourceScopus
dc.subjectBerth Allocation Problem
dc.subjectContainer terminals
dc.subjectGRASP
dc.typeArticle
dc.contributor.departmentCIVIL ENGINEERING
dc.description.doi10.1016/j.tre.2010.01.009
dc.description.sourcetitleTransportation Research Part E: Logistics and Transportation Review
dc.description.volume46
dc.description.issue6
dc.description.page1017-1029
dc.identifier.isiut000280344400015
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