Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/33804
Title: An optimization based genetic algorithm heuristic for the berth allocation problem
Authors: Theofanis, Sotirios 
Boilé, Maria 
Golias, Mihalis 
Major Field of Science: Engineering and Technology
Issue Date: 1-Dec-2007
Source: IEEE Congress on Evolutionary Computation, 2007
Conference: IEEE Congress on Evolutionary Computation 
Abstract: Genetic Algorithms have been used extensively in the studies on the Berth Allocation Problem (BAP). In this paper we present an optimization based Genetic Algorithm heuristic for the Discrete and Dynamic BAP that is independent of the objective function of the problem. It is evaluated by considering the problem of allocating space at a berth for vessels with the objective of minimizing the total weighted service time of all the vessels. The problem is formulated as a linear mixed integer program. Computational experiments are reported to evaluate the efficiency of the proposed heuristic. ©2007 IEEE.
URI: https://hdl.handle.net/20.500.14279/33804
ISBN: 9781424413409
DOI: 10.1109/CEC.2007.4425052
Type: Conference Papers
Affiliation : Rutgers University 
Appears in Collections:Άρθρα/Articles

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