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

机译:根据等待时间安排具有不同恶化任务的问题的算法

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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:在本文中,研究了具有恶化工作的单机调度问题。它着重于考虑一种新的劣化模型和不同的劣化率以最小化制造期。首先,提出了一种用于调度问题的混合整数规划模型。其次,根据问题的特点,提出了支配性和下界并将其集成到分支定界算法(B&B)中。第三,为解决大规模问题,提出了启发式算法。数值实验表明,当问题的规模较小时,B&B算法可以在合理的时间内获得最优解。当问题的大小适中时,ILOG CPLEX也可以获得问题的最佳解决方案。启发式算法可以在不超过1s的时间内获得良好的近似最优解。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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