运筹与管理 ›› 2019, Vol. 28 ›› Issue (11): 85-90.DOI: 10.12005/orms.2019.0252

• 理论分析与方法探讨 • 上一篇    下一篇

生鲜农产品多配送中心连续选址FCM-ISA算法及应用

魏洁, 王佳鑫   

  1. 杭州电子科技大学 管理学院,浙江 杭州 310018
  • 收稿日期:2018-01-19 出版日期:2019-11-25
  • 作者简介:魏洁(1973-),女,浙江诸暨,副教授,博士,研究领域为物流与供应链管理,计量经济分析方法与应用;王佳鑫(1992-),男,河南浚县,硕士,研究领域为智能算法,物流设施选址。
  • 基金资助:
    国家自然科学基金资助项目(71272016);国家社会科学基金资助项目(18BGL182);教育部人文社会科学青年基金资助项目(13YJC630177);浙江省软科学研究项目(2018C25044)

FCM-ISA Algorithm for Continuous Location Model of Fresh Produce Multi-Distribution Centers And Application

WEI Jie, WANG Jia-xin   

  1. School of Management, Hangzhou Dianzi University, Hangzhou 310018, China
  • Received:2018-01-19 Online:2019-11-25

摘要: 本文对生鲜农产品多配送中心连续选址问题进行了研究,在建立考虑最小距离约束下连续选址模型的基础上,针对以往连续选址模型求解过程中采用随机方式生成初始解会造成算法搜索范围过大且易陷入局部最优的局限,创新性地提出了连续选址模型的模糊C均值聚类-改进模拟退火(FCM-ISA)算法,并以杭州市为例验证了所建模型及设计算法的有效性。计算结果表明,本文所建立的生鲜农产品多配送中心连续选址模型更符合实际选址情景,设计的FCM-ISA算法收敛速度快且全局寻优效果好,对科学地进行生鲜农产品多配送中心选址决策具有重要的指导意义。

关键词: 生鲜农产品, 多配送中心, 连续选址, 模糊C均值聚类, 改进模拟退火算法

Abstract: Research on the continuous location problem of fresh produce multi-distribution centers is an important issue. In order to solve this problem, the initial solution is usually generated by random way of the previous algorithms, but this will cause the search range to be too large and easy to fall into local optimum,thus a new algorithm for solving continuous location problem of multi-distribution centers is proposed. Firstly, a continuous multi-distribution centers location model with minimum distance constraints is established. Then, a fuzzy c means clustering-improved simulated annealing(FCM-ISA)algorithm is designed. And finally, taking Hangzhou as an example, we verifies the validity of the model and design algorithm is. The results show that the continuous multi-distribution centers model of fresh produces established in this paper is more accordant with practical circumstances, and also the designed FCM-ISA algorithm has the advantages of fast convergence and better global optimization than the previous algorithms. It is of great guiding significance for scientific research on the location decision of the multi-distribution centers of fresh produce.

Key words: fresh produce, multi-distribution centers, continuous location, fuzzy c means clustering, improved simulated annealing algorithm

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