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Multi-facilities Location and Allocation Problem of Three-Echelon Supply Chain Based on an Improved Genetic Algorithm

机译:基于改进遗传算法的三梯队供应链多设施位置与分配问题

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摘要

A new mathematics model on multi-facilities location and allocation problem(MLAP) of three-echelon supply chain was built, which mainly took some logistics cost such as inventory cost, carrying cost, transportation cost into consideration. Then, an improved Genetic Algorithm was proposed to solve the MLAP. In this algorithm, the real encoding method was used to encode the solution directly, and meanwhile the crossover and mutation operator were improved. Finally, a numerical experiment showed clearly the feasibility of the IGA method and the effectiveness of the model.
机译:建造了三梯队供应链的多设施定位和分配问题的新数学模型,主要采用了一些物流成本,如库存成本,携带成本,运输费用。然后,提出了一种改进的遗传算法来解决MLAP。在该算法中,使用实际编码方法直接编码解决方案,同时改善了交叉和突变算子。最后,数值实验显然显示了IGA方法的可行性和模型的有效性。

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