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Priority-based scheduling in flexible system using AIS with FLC approach

机译:使用AIS和FLC方法的灵活系统中基于优先级的调度

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In the present paper, an extensive decision-making problem of scheduling in flexible environment has been discussed. The novelty of the research is to allocate the machines to the operations on the basis of the priority. The highly prioritised machines are allocated first but least prioritised machines are also allocated for on-time delivery. The priority-based schedule provides a tradeoff approach between the utilisation and lead time. The problem has been tested on make-span as performance measure along with the sum of priority of all selected machines. To unravel the complexities of this problem, a heuristic based on a new approach, called artificial immune system (AIS) has been proposed. To strengthen AIS, a fuzzy logic controller (FLC) has been incorporated in the AIS heuristic. FLC changes the hypermutation rate adaptively at iteration. A numerical example has been taken for showing the efficacy of the proposed algorithm. The supremacy of the problem has been shown by the randomly generated data-set with increased complicacy of the problems. The results are also validated by statistical analysis using analysis of variance.
机译:在本文中,讨论了在灵活的环境中进行调度的广泛决策问题。该研究的新颖之处在于根据优先级将机器分配给操作。首先分配高度优先的计算机,但也分配最不优先的计算机以按时交付。基于优先级的计划提供了利用率和提前期之间的折衷方法。该问题已经在制造跨度和所有选定机器的优先级总和上进行了性能测试。为了解决此问题的复杂性,已提出了一种基于新方法的启发式方法,称为人工免疫系统(AIS)。为了加强AIS,模糊逻辑控制器(FLC)已合并到AIS启发式算法中。 FLC在迭代时自适应地更改超变率。数值例子表明了该算法的有效性。问题的至高性由随机生成的数据集显示,问题的复杂性增加。还通过使用方差分析的统计分析来验证结果。

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