Please use this identifier to cite or link to this item: https://doi.org/10.1109/SCIS.2009.4927021
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dc.titleSolving the berth allocation problem with service priority via multi-objective optimization
dc.contributor.authorCheong, C.Y.
dc.contributor.authorTan, K.C.
dc.contributor.authorLiu, D.K.
dc.date.accessioned2014-06-19T03:28:08Z
dc.date.available2014-06-19T03:28:08Z
dc.date.issued2009
dc.identifier.citationCheong, C.Y., Tan, K.C., Liu, D.K. (2009). Solving the berth allocation problem with service priority via multi-objective optimization. 2009 IEEE Symposium on Computational Intelligence in Scheduling, CI-Sched 2009 - Proceedings : 95-102. ScholarBank@NUS Repository. https://doi.org/10.1109/SCIS.2009.4927021
dc.identifier.isbn9781424427574
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/71814
dc.description.abstractThis paper studies a multi-objective instance of the berth allocation problem (BAP). The BAP involves the determination of exact berthing times and positions of incoming ships in a container port so as to minimize concurrently the three objectives of makespan of the port, total waiting time of the ships, and degree of deviation from a predetermined service priority schedule. These objectives represent the interests of both port and ship operators. Unlike most existing approaches in the literature which are singleobjective- based, a multi-objective evolutionary algorithm (MOEA) that incorporates the concept of Pareto optimality is proposed for solving the multi-objective BAP. The multiobjective approach reveals several interesting characteristics of the BAP.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/SCIS.2009.4927021
dc.sourceScopus
dc.typeConference Paper
dc.contributor.departmentELECTRICAL & COMPUTER ENGINEERING
dc.description.doi10.1109/SCIS.2009.4927021
dc.description.sourcetitle2009 IEEE Symposium on Computational Intelligence in Scheduling, CI-Sched 2009 - Proceedings
dc.description.page95-102
dc.identifier.isiut000268921700015
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