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Research on location of remanufacturing factory based on particle swarm optimization

机译:基于粒子群优化的再制造工厂定位研究

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Focus on reverse logistics location of remanufacturing factory, a mixed integer programming model is constructed on the basis of minimun cost. Then particle swarm optimization (PSO) algorithm is introduced in the model. Discrete PSO is used to solve reverse logistics location of remanufacturing factory, and the distribution of goods is solved by traditional PSO algorithm. The optimal solution of the model is obtained by nesting discrete PSO and traditional PSO, which reduces the calculation complexity, selects the reverse logistics remanufacturing factory efficiently, and the network structure of reverse logistics is optimized. The experiment results show that the method is feasible and efficient.
机译:专注于反向物流定位的再制造厂,混合整数编程模型是在最小成本的基础上构建的。然后在模型中引入了粒子群优化(PSO)算法。离散PSO用于解决再制造工厂的反向物流定位,并通过传统的PSO算法解决了商品的分配。该模型的最佳解决方案是通过嵌套离散PSO和传统PSO获得的,这减少了计算复杂性,有效地选择了反向物流再制造的工厂,并优化了反向物流的网络结构。实验结果表明,该方法是可行和有效的。

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