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The use of frontier techniques to identify efficient solutions for the Berth Allocation Problem solved with a hybrid evolutionary algorithm

机译:使用前沿技术识别泊位分配问题的有效解决方案,并用混合进化算法解决

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The search for logistics best-practices in international trade has led to the appearance of the Berth Allocation Problem. If the vessels have release dates, the problem is proved to be NP-hard and the performance of exact algorithms is not satisfactory, leading to the use of metaheuristics. This paper develops a Hybrid Evolutionary Algorithm for the discrete and dynamic Berth Allocation Problem. A challenge of using Genetic Algorithms is the identification of the best approach to model a specific problem. This paper proposes the use of frontier techniques (Data Envelopment Analysis and Free Disposal Hull models) to compare the performances of alternative specifications of the parameters for the algorithm proposed and to identify efficient solutions. (C) 2019 Elsevier Ltd. All rights reserved.
机译:在国际贸易中寻求最佳物流实践导致出现了泊位分配问题。如果船只有释放日期,则证明问题是NP困难的,并且精确算法的性能不能令人满意,从而导致使用元启发法。本文针对离散和动态泊位分配问题开发了一种混合进化算法。使用遗传算法的挑战是确定对特定问题建模的最佳方法。本文提出使用前沿技术(数据包络分析和自由处置船体模型)来比较所提出算法的参数替代规范的性能,并确定有效的解决方案。 (C)2019 Elsevier Ltd.保留所有权利。

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