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首页> 外文期刊>International journal of mathematics in operational research >A heuristic method to solve the location and machine selection problem in a two-dimensional continuous area
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A heuristic method to solve the location and machine selection problem in a two-dimensional continuous area

机译:一种求解二维连续区域中位置和机器选择问题的启发式方法

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摘要

In this paper, a heuristic method is developed to solve the location and machine selection problem in a two-dimensional continuous area. In this method, a two-step algorithm is proposed in which the choosing sequence of the machines is determined in the first step and machines are located in the second step. Initially, the problem is formulated as a nonlinear mixed integer programming (MIP) model. This model is then modified to determine the location of machines step by step. Some small, medium and large-sized problems are designed and solved by both branch-and-bound (B&B) and the proposed method to verify the efficiency and effectiveness of the proposed method and the results obtained are compared. Computational results show that the proposed method can provide high quality solutions in a very reasonable time in comparison to B&B method, particularly in the case of medium-to-large sized problems.
机译:本文提出了一种启发式方法来解决二维连续区域中的位置和机器选择问题。在该方法中,提出了一种两步算法,其中在第一步中确定机器的选择顺序,在第二步中确定机器的位置。最初,该问题被表述为非线性混合整数规划(MIP)模型。然后修改此模型,以逐步确定机器的位置。通过分支定界法(B&B)设计并解决了一些小,中,大型问题,并验证了所提方法的有效性和有效性,并比较了所得结果。计算结果表明,与B&B方法相比,该方法可以在非常合理的时间内提供高质量的解决方案,特别是在中到大型问题的情况下。

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