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首页> 外文期刊>Advances in Mechanical Engineering >Serial reduction optimization research of complex product workflow’s accuracy under the time constraint:
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Serial reduction optimization research of complex product workflow’s accuracy under the time constraint:

机译:在时间限制下对复杂产品工作流的准确性进行序列化缩减优化研究:

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Model complex production business contains the attributes of completion time, accuracy, and so on; these factors influence each other; and pursuing the balance of these factors is the core idea of the article. Due to the problems of low accuracy or more completion time which may be caused by the traditional algorithm, the research group proposed the serial reduction algorithm which can achieve higher accuracy under deadline for the business. The algorithm sets the active portion for each task and uses the inverse iterative way to obtain a path that can balance both the completion time and the accuracy. By the case analysis, compared with the traditional unidirectional objective algorithm, serial reduction algorithm can optimize the accuracy under the deadline. Finally, the article analyses the parameters that can affect the algorithm performance; the experiment shows that serial reduction algorithm applied to the workflow is feasible and effective, which has the simple advantage.
机译:模型复杂的生产业务包含完成时间,准确性等属性;这些因素相互影响;并在这些因素之间取得平衡是本文的核心思想。由于传统算法可能会导致精度较低或完成时间较长的问题,研究小组提出了一种序列约简算法,该序列约简算法可以在业务期限内实现更高的精度。该算法为每个任务设置活动部分,并使用反迭代方式来获得可以平衡完成时间和准确性的路径。通过实例分析,与传统的单向目标算法相比,序列约简算法可以在期限内优化精度。最后,本文分析了可能影响算法性能的参数;实验表明,将序列约简算法应用于工作流是可行和有效的,具有简单的优势。

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