Please use this identifier to cite or link to this item: https://doi.org/10.1109/CEC.2007.4424569
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dc.titleA multi-objective evolutionary algorithm for berth allocation in a container port
dc.contributor.authorCheong, C.Y.
dc.contributor.authorLin, C.J.
dc.contributor.authorTan, K.C.
dc.contributor.authorLiu, D.K.
dc.date.accessioned2014-10-07T04:40:31Z
dc.date.available2014-10-07T04:40:31Z
dc.date.issued2007
dc.identifier.citationCheong, C.Y., Lin, C.J., Tan, K.C., Liu, D.K. (2007). A multi-objective evolutionary algorithm for berth allocation in a container port. 2007 IEEE Congress on Evolutionary Computation, CEC 2007 : 927-934. ScholarBank@NUS Repository. https://doi.org/10.1109/CEC.2007.4424569
dc.identifier.isbn1424413400
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/83375
dc.description.abstractThis paper considers a berth allocation problem (BAP) which requires the determination of exact berthing times and positions of incoming ships in a container port. The problem is solved by optimizing the berth schedule so as to minimize concurrently the three objectives of make span, number of crossings, and waiting time. These objectives represent the interests of both port and ship operators. A multi-objective evolutionary algorithm (MOEA) that incorporates the concept of Pareto optimality is proposed for solving the multi-objective BAP. The MOEA is equipped with a novel solution decoding scheme which is specifically designed to optimize the use of berth space. The MOEA is also able to function in a dynamic context which is of more relevance to a real-world situation. © 2007 IEEE.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/CEC.2007.4424569
dc.sourceScopus
dc.typeConference Paper
dc.contributor.departmentELECTRICAL & COMPUTER ENGINEERING
dc.description.doi10.1109/CEC.2007.4424569
dc.description.sourcetitle2007 IEEE Congress on Evolutionary Computation, CEC 2007
dc.description.page927-934
dc.identifier.isiut000256053700123
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