Please use this identifier to cite or link to this item: https://doi.org/10.1109/SCIS.2009.4927021
Title: Solving the berth allocation problem with service priority via multi-objective optimization
Authors: Cheong, C.Y.
Tan, K.C. 
Liu, D.K.
Issue Date: 2009
Citation: Cheong, 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
Abstract: This 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.
Source Title: 2009 IEEE Symposium on Computational Intelligence in Scheduling, CI-Sched 2009 - Proceedings
URI: http://scholarbank.nus.edu.sg/handle/10635/71814
ISBN: 9781424427574
DOI: 10.1109/SCIS.2009.4927021
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