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Location of logistics distribution center with grey demand and grey production capacity based on hybrid PSO

机译:基于混合PSO的灰色需求和灰色生产能力的物流配送中心选址

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The location of logistics distribution center contains various types of grey information, which can help improve usefulness of the logistics location. In this paper, grey demand and grey production capacity in logistics chain have been discussed, and a optimization model of location with grey demand and grey production capacity is propossed. The model is NP-hard, then a hybrid particle swarm optimization based on grey chance-constrained programming is proposed for it. The example results show that the model and the algorithm can solve the problem of location of logistics distribution center with grey demand and grey production capacity.
机译:物流配送中心的位置包含各种类型的灰色信息,可以帮助提高物流位置的实用性。本文讨论了物流链中的灰色需求和灰色生产能力,提出了具有灰色需求和灰色生产能力的选址优化模型。该模型具有NP难性,然后提出了一种基于灰色机会约束规划的混合粒子群优化算法。实例结果表明,该模型和算法可以解决具有灰色需求和灰色生产能力的物流配送中心选址问题。

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