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Algorithms for scheduling problem with different deterioration jobs under depending on waiting times

机译:根据等待时间根据不同的恶化作业调度问题的算法

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In this paper, a single machine scheduling problem with deterioration jobs is investigated. It focuses on considering a new deterioration model and different deterioration rates for minimizing the makespan. Firstly, a mixed integer programming model for the scheduling problem is presented. Secondly, according to characteristics of the problem, dominance properties and lower bounds are proposed and integrated into the Branch and Bound algorithm (B&B). Thirdly, for solving a large-scale problem, the heuristic algorithm is proposed. The numerical experiments show that when the size of the problem is small, the B&B algorithm can obtain the optimal solutions in a reasonable time. ILOG CPLEX can also obtain the optimal solutions of the problem when the size of the problem is medium. A heuristic algorithm can obtain good near-optimal solutions in no more than 1s. The results of numerical experiments show that model, B&B and the heuristic algorithm are effective.
机译:本文研究了一种具有恶化作业的单机调度问题。它侧重于考虑最小化Makespan的新的恶化模型和不同的恶化速率。首先,提出了一个用于调度问题的混合整数编程模型。其次,根据问题的特征,提出主导特性和下界并集成到分支和结合算法(B&B)中。第三,为了解决大规模的问题,提出了启发式算法。数值实验表明,当问题的尺寸很小时,B&B算法可以在合理的时间内获得最佳解决方案。当问题的大小是媒介时,ILOG CPLEX还可以获得问题的最佳解决方案。启发式算法可以在不超过1秒内获得良好的近乎最佳解决方案。数值实验结果表明,模型,B&B和启发式算法是有效的。

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