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首页> 外文期刊>International journal of unconventional computing >A Molecular Computational Approach to Solving a Work Centre Sequence-Oriented Manufacturing Problem of Classical Job Shop Scheduling
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A Molecular Computational Approach to Solving a Work Centre Sequence-Oriented Manufacturing Problem of Classical Job Shop Scheduling

机译:解决经典工作车间调度中面向工作中心序列的制造问题的分子计算方法

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摘要

Classical job shop scheduling includes an intractable manufacturing scheduling problem. The problem is how to minimise the maximum manufacturing completion time in high variety and low volume requirements. Further, we have to consider work centre sequences for how all the given jobs are sequenced by work centre orders, meaning that it is an NP-hard problem. A number of different types of methods and algorithms have been proposed for solving this issue. In this article, we focused on molecular computational methods and biological techniques to propose a new algorithm. Our algorithm can be used to search all the feasible manufacturing schedules, and isolate the schedule with the truly minimised maximum manufacturing completion time.
机译:经典的作业车间调度包括棘手的制造调度问题。问题是如何最大程度地减少高品种和小批量要求下的最大制造完成时间。此外,我们必须考虑工作中心序列,以了解如何按工作中心订单对所有给定的工作进行排序,这意味着这是一个NP难题。已经提出了许多不同类型的方法和算法来解决该问题。在本文中,我们集中于分子计算方法和生物学技术提出了一种新算法。我们的算法可用于搜索所有可行的制造计划,并以真正最小化的最大制造完成时间隔离计划。

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