几种机器泊位分配问题的数学模型及遗传算法求解方法

Q4 Decision Sciences Pesquisa Operacional Pub Date : 2021-05-24 DOI:10.1590/0101-7438.2021.041.00239994
Bruno Luís Hönigmann Cereser, Luiz Leduíno de Salles Neto, A. Moretti, A. Oliveira
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引用次数: 0

摘要

海运对全球贸易至关重要。由于世界各地港口的大流量,船舶在泊位的有效配置已成为一个问题。本文提出了一种新的数学模型和几种算法,用于规划泊位内船舶的分配和各船舶服务的资源分配。一般来说,这些资源是装载或卸载船只的机器。由于数学模型的高复杂度,该模型在Cplex上实现,可以求解小规模的实例。为了解决更大的实例,本文还提出了基于遗传算法的元启发式算法、先进先出启发式算法和机器分配算法。该模型和算法产生了非常有用和有趣的结果。相比之下,GA产生的结果平均比Cplex的结果好94%,比FIFO的结果好26%。
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A MATHEMATICAL MODEL AND GENECTIC ALGORITHM SOLUTION METHODS FOR THE BERTH ALLOCATION PROBLEM WITH SEVERAL TYPES OF MACHINES
ABSTRACT Maritime shipping is vital to worldwide commerce. Due to the high flow in ports throughout the world, the efficient allocation of vessels in berths has become a problem. A new mathematical model and several algorithms are proposed in this paper to planning the allocation of the vessels in berths and the allocation of resources to the service of each vessel. Those resources, in general, are machines to load or unload vessels. The mathematical model was implemented on Cplex and can solve small scale instances, due to its high complexity. To solve larger instances, a genetic algorithm-based metaheuristic, a first-in first-out heuristic, and a machine allocation algorithm are also proposed in this paper. The model and the algorithms produce very useful and interesting results. Comparing, the results produced by the GA are, on average, 94% better than the results of the Cplex and 26% better than the results of FIFO.
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来源期刊
Pesquisa Operacional
Pesquisa Operacional Decision Sciences-Management Science and Operations Research
CiteScore
1.60
自引率
0.00%
发文量
19
审稿时长
8 weeks
期刊介绍: Pesquisa Operacional is published each semester by the Sociedade Brasileira de Pesquisa Operacional - SOBRAPO, performing one volume per year, and is distributed free of charge to its associates. The abbreviated title of the journal is Pesq. Oper., which should be used in bibliographies, footnotes and bibliographical references and strips.
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