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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:使用杂交进化算法识别前沿技术来识别泊位分配问题的有效解决方案

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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:在国际贸易中寻找物流最佳实践导致了泊位分配问题的外观。如果船只有释放日期,则证明问题是NP - 硬,精确算法的性能并不令人满意,从而导致使用筛例。本文开发了一种用于离散和动态泊位分配问题的混合进化算法。使用遗传算法的挑战是识别建模特定问题的最佳方法。本文提出了使用前沿技术(数据包络分析和免费处置船体模型)来比较所提出的算法参数的替代规范的性能,并识别有效的解决方案。 (c)2019 Elsevier Ltd.保留所有权利。

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