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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级供应链多工厂定位与分配问题

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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:建立了三级供应链多设施选址与分配问题的数学模型,该模型主要考虑了库存成本,搬运成本,运输成本等物流成本。然后,提出了一种改进的遗传算法来求解MLAP。该算法采用实数编码方法直接对解进行编码,同时改进了交叉和变异算子。最后,数值实验清楚地表明了IGA方法的可行性和模型的有效性。

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