Abstract
According to the randomness of the vessel’s arrival time and handling time, the establishment of a randomly-oriented environment container berths—crane allocation model, the optimizing goal is to minimize the average ship-waiting time. Taking into account the complexity of the model solution, this paper offers the design of an improved genetic algorithm to reduce the searching space, and according to the characteristics of the optimal solution. With testing example to verify that the model can simulate decision-making environment of berths—crane allocation problem and reflect the decision-maker’s attitude toward risks and preferences. The algorithm can gain a stable and satisfactory solution within the operating time.
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Acknowledgments
This work was supported in part by the National Natural Science Foundation of China under Grants 61170078 and 60773034; the National Basic Research Program of China (973 Program) under Grant 2010CB328101; and the Scientific and Technological Developing Program of Shandong Province of China under grant 2011GGX10114.
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Liu, Jx., Du, Yy., Hong, Yf., Sun, Ll. (2013). Berth-Crane Allocation Model and Algorithm of Container Berths in the Uncertain Environment. In: Yin, Z., Pan, L., Fang, X. (eds) Proceedings of The Eighth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA), 2013. Advances in Intelligent Systems and Computing, vol 212. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37502-6_93
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DOI: https://doi.org/10.1007/978-3-642-37502-6_93
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