The continuous Berth Allocation Problem: A Greedy Randomized Adaptive Search Solution
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.
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Bibliographic InfoArticle provided by Elsevier in its journal Transportation Research Part E: Logistics and Transportation Review.
Volume (Year): 46 (2010)
Issue (Month): 6 (November)
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Web page: http://www.elsevier.com/wps/find/journaldescription.cws_home/600244/description#description
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- Chen, Jiang Hang & Lee, Der-Horng & Cao, Jin Xin, 2012. "A combinatorial benders’ cuts algorithm for the quayside operation problem at container terminals," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(1), pages 266-275.
- Xu, Dongsheng & Li, Chung-Lun & Leung, Joseph Y.-T., 2012. "Berth allocation with time-dependent physical limitations on vessels," European Journal of Operational Research, Elsevier, vol. 216(1), pages 47-56.
- Imai, Akio & Nishimura, Etsuko & Papadimitriou, Stratos, 2013. "Marine container terminal configurations for efficient handling of mega-containerships," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 49(1), pages 141-158.
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