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基于蚁群算法的生鲜农产品配送中心选址优化
引用本文:邱荣祖,钟晓燕,钟聪儿,林雄.基于蚁群算法的生鲜农产品配送中心选址优化[J].江南大学学报(自然科学版),2010,9(2):156-161.
作者姓名:邱荣祖  钟晓燕  钟聪儿  林雄
作者单位:1. 福建农林大学,交通学院,福建,福州,350002
2. 福建师范大学,协和学院,福建,福州,350108
基金项目:福建省自然科学基金项目(D0710001)
摘    要:根据生鲜农产品保鲜期短的特点,以节省企业各项运营成本和最小投资费用为目标,建立了时间约束的多个配送中心选址问题的数学模型。结合实例,采用连续函数优化问题的蚁群算法求解模型,运用VC编写相应的程序,从而提高中心选址决策的效率和精度。

关 键 词:农产品  中心选址  模型  蚁群算法  

Study on Optimization of Fresh Agricultural Product Distribution Center Location Based on Ant Colony Algorithm
QIU Rong-zu,ZHONG Xiao-yan,ZHONG Cong-er,LIN Xiong.Study on Optimization of Fresh Agricultural Product Distribution Center Location Based on Ant Colony Algorithm[J].Journal of Southern Yangtze University:Natural Science Edition,2010,9(2):156-161.
Authors:QIU Rong-zu  ZHONG Xiao-yan  ZHONG Cong-er  LIN Xiong
Institution:1.College of Transportation;Fujian Agriculture and Forestry University;Fuzhou 350002;China;2.College of Concord;Fujian Normal University;Fuzhou 350108;China
Abstract:According to the short preservation characteristic of agricultural products,the optimization model of multi-distributing center location with time restriction was established with the goal of saving the cost of business operation and the lowest investment.The model was applied to the specific example.The efficiency and precision of decision of center location were improved with the application of Ant Colony Algorithm based on continual function optimization and VC as the programming platform.
Keywords:agricultural product  center location  model  ant colony algorithm  
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