Publications (2)0.55 Total impact
Article: Analysis of the continuous berth allocation problem in container ports using a genetic algorithm[show abstract] [hide abstract]
ABSTRACT: The optimal usage of berths plays a key role in raising the efficiency of container terminals. The berth allocation problem in a container terminal is defined as the feasible allocation of berths to incoming ships such that the total time that elapses between the arrival of the ships to their exit from their berths is minimized. In the transportation literature, the latter problem is usually formulated as a mixed integer programming model. Optimization methods, like the branch and bound algorithm, are efficient ways to solve this model but become absolutely unusable when the size of the problem increases. An advanced search method such as GA may be suited to such a situation. In this paper, a genetic-based algorithm is proposed for the problem. Computational results for two test problems (a small and a large-sized problem) are also presented. The results from the small test are also compared with the results obtained from the branch and bound algorithm. KeywordsContainer transportation-Berth allocation problem-Container terminal management-Complex model-Genetic algorithmJournal of Marine Science and Technology 04/2012; 15(4):408-416. · 0.55 Impact Factor
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ABSTRACT: Nowadays container terminals play a pivotally important role in the world. As a consequence of facing the global trend of containerization, this paper proposed a modification in yard layout configuration for terminal throughput improvement. In this regard, three different scenarios of container yard layout were considered in the paper. Site layout planning can affect productivity and is obviously crucial to project success. Because of many uncertainties, variables and variations, site layout planning is a typical multi-objective problem. Actually this shows the multi-criteria property of decision making. Since then we have considered fixed and variable cost, transfer cycle time, flexibility and stacking capacity as the performance indicators. We also employed analytical hierarchy process (AHP) to evaluate each alternative layout with respect to each of the criterion and finally prioritized all the alternatives.Journal of King Saud University - Science 24(1):39-46.