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Multi-objective constraint optimization in mail-order pharmacy automated distribution system

机译:邮购药房自动分配系统中的多目标约束优化

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In this research, we study a scheduling problem in mail-order pharmacy automated distribution (MOPAD) system. In MOPAD scheduling, two kinds of objective: the collation delay (CD) and makespan, should be considered and in the previous study of some of authors three kinds of genetic algorithms (GA) are applied and evaluated. In this paper, we apply constraint programming (CP) for the scheduling problem. We proposed a CP formulation of the problem and evaluated through computational experiments. The results show that the proposed method is effective for small-scale problem but further study is required to compare with GA methods in large-scale problems.
机译:在这项研究中,我们研究邮购药房自动分配(MOPAD)系统中的调度问题。在MOPAD调度中,应考虑两种目标:核对延迟(CD)和生成时间,并且在一些作者的先前研究中,应用和评估了三种遗传算法(GA)。在本文中,我们将约束规划(CP)应用于调度问题。我们提出了该问题的CP公式,并通过计算实验对其进行了评估。结果表明,所提出的方法对于小规模问题是有效的,但与遗传算法在大规模问题中的比较尚需进一步研究。

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