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An Agent-based Transportation Route Planning Method for Led Fabricating Line and Its Evaluation Using Lagrangian Relaxation

机译:基于主体的LED生产线运输路线规划方法及其拉格朗日松弛评价

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摘要

In most of Light Emitting Diode (LED) semiconductor fabricating line, AGVs (Automated Guided Vehicles) are used to transport the products between the facilities in order to ensure dust-free operation in the transportation systems. It has been demanded to realize the route planning system which speedily derives a feasible transportation route so that each AGV does not interfere with other AGVs. In this paper, we applied an agent-based optimization method for the route planning problems with multiple AGVs in LED fabricating bay in which the total transportation time is minimized. In the agent-based method, each AGV agent independently searches its candidate of route. The imitated pheromone is effectively used to generate the route which avoids the collision among AGVs. In order to evaluate the performance of the proposed method, the lower bound of the original problem is obtained by using the Lagrangian relaxation technique. The performances of the proposed method are evaluated by using the value of duality gap for a large scale problem. The effectiveness of the agent-based optimization method is demonstrated.
机译:在大多数发光二极管(LED)半导体生产线中,AGV(自动引导车)用于在设施之间运输产品,以确保运输系统中的无尘运行。已经需要实现一种路线规划系统,其快速地得出可行的运输路线,以使得每个AGV不干扰其他AGV。在本文中,我们针对总制造时间最短的LED制造海湾中具有多个AGV的路线规划问题,应用了基于代理的优化方法。在基于代理的方法中,每个AGV代理独立搜索其候选路线。模仿的信息素可有效地生成避免AGV之间碰撞的路线。为了评估所提出方法的性能,使用拉格朗日松弛技术获得了原始问题的下界。通过使用对偶间隙值解决大规模问题,对所提方法的性能进行了评估。证明了基于代理的优化方法的有效性。

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