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基于遗传算法和指标满意度求解的第三方物流企业物流中心选址方法
A Method Based on GA and Index Satisfaction for TPL Company’s Logistics Center Locating
【摘要】 本文利用AHP和模糊综合评价法评价物流中心选址的定性指标、用量化选址模型结合遗传算法计算定量指标,再藉助指标满意度求解把定性和定量的指标进行综合,从而为决策者对物流中心选址做出科学的决策提供支持。
【Abstract】 This paper uses AHP and the fuzzy synthetic evaluation for qualitative indexes and GA for quantitative ones. On the basis of the former results, we unite the two kinds of indexes by counting the indexes’ satisfaction, and thus provide the support for the decision-making of the third part logistics center locating.
【关键词】 物流;
物流中心选址;
GA;
指标满意度;
【Key words】 logistics; logistics center locating; genetic algorithms; index satisfaction;
【Key words】 logistics; logistics center locating; genetic algorithms; index satisfaction;
- 【文献出处】 运筹与管理 ,Operations Research and Management Science , 编辑部邮箱 ,2004年02期
- 【分类号】F252
- 【被引频次】19
- 【下载频次】536