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New heuristics for no-wait flowshops to minimize makespan

机译:无需等待的流程车间的新启发法,可最大程度地缩短制造时间

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This paper addresses the m-machine no-wait flowshop scheduling problem to minimize makespan. We propose two heuristics that are based on simulated annealing and Genetic Algorithm techniques. We also propose improvement procedures to these heuristics. Extensive computational experiments show that the simulated annealing heuristic outperforms the best two existing heuristics. They also show that the improvement procedures, applied to the Simulated Annealing and Genetic Algorithm, result in significant reduction in error, about 750% error reduction to Simulated Annealing and about 1960% to Genetic Algorithm.
机译:本文解决了m机无等待流水车间调度问题,以最大程度地缩短制造周期。我们提出了两种基于模拟退火和遗传算法技术的启发式方法。我们还针对这些启发式方法提出了改进程序。大量的计算实验表明,模拟退火启发式算法优于现有的两种最佳启发式算法。他们还表明,应用于模拟退火和遗传算法的改进程序可显着减少误差,对模拟退火降低约750%的误差,对遗传算法降低约1960%的误差。

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