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Application of DNA Genetic Algorithm in Manufacturing System Scheduling Optimization

机译:DNA遗传算法在制造系统调度优化中的应用

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In this paper, built mathematical model on Flow Shop scheduling, put forward a RNA genetic algorithm based on DNA computing to solve the Flow Shop scheduling problems. Adopt RNA four digit system encoding method based on DNA computing and RNA computing operator in genetic algorithm. It resolved the encoding scheme and convergence problem which exists in the conventional genetic algorithm. Under some constraint conditions, this genetic algorithm got simulated. Simulation results showed that this algorithm has a better optimum searching and seeking abilities, made the scheduling results comparatively reasonable and expanded the application of DNA computing.
机译:本文建立了流水店调度的数学模型,提出了一种基于DNA计算的RNA遗传算法来解决流量店调度问题。采用基于DNA计算和RNA计算运算符的RNA四位数字编码方法在遗传算法中。它解决了传统遗传算法中存在的编码方案和收敛问题。在某些约束条件下,这种遗传算法已经模拟。仿真结果表明,该算法具有更优选的搜索和寻求能力,使调度结果相对合理,扩大了DNA计算的应用。

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