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Setup coordination between two stages of a production system: A multi-objective evolutionary approach

机译:建立生产系统两个阶段之间的协调:多目标进化方法

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This paper describes the application of evolutionary algorithms to a typical multi-objective problem of serial production systems, in which two consecutive departments must organize their internal work, each taking into account the requirements of the other department. In particular, the paper compares three approaches based on different combinations of multi-objective evolutionary algorithms and local-search heuristics, using both small-size test instances and larger problems derived from an industrial production process. The analysis of the case-studies confirms the effectiveness of the evolutionary approaches, also enlightening the advantages and shortcomings of each considered algorithm.
机译:本文介绍了进化算法在串行生产系统的典型多目标问题中的应用,在该问题中,两个连续的部门必须组织内部工作,每个部门都必须考虑另一部门的要求。特别是,本文使用小型测试实例和工业生产过程中产生的较大问题,比较了基于多目标进化算法和局部搜索启发法的不同组合的三种方法。案例研究的分析证实了进化方法的有效性,也启发了每种考虑算法的优缺点。

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