摘要： 针对现阶段汽车零部件物流网络优化问题，提出以区域分销中心选址为基础的汽车零部件物流网络优化解决方案，包括符合汽车零部件物流特点的物流网络优化模型。由于遗传算法的局限性，采用以模拟退火的思想对遗传算子参数进行自适应的改进方法，以及最优步长搜索技术做出调整与优化。对实际项目的优化和比较结果证明了该自适应遗传算法的有效性和适应能力。

关键词: 汽车零部件物流, 自适应遗传算法, 物流网络优化, 模拟退火算法

Abstract: An adaptive genetic algorithm with the thought of simulated annealing algorithm is designed to resolve the problem of auto components logistics network optimization plan. The parameters of genetic operators can be changeable based on the method of simulated annealing algorithm. The contrast of the different optimization results show that the adaptive genetic algorithm can implement the optimization process and demonstrate good adaptability.

Key words: vehicle components logistics, adaptive genetic algorithm, logistics network optimization, simulated annealing algorithm

中图分类号: 

• TP393