Optimization of Cold Chain Logistics Network Layout Based on Genetic Algorithms

摘要：

This paper presents a study of a two-stage distribution problem of a cold chain system. The nonlinear relationship between rate of food corruption and time is introduced under the assumption of constant temperature conditions. Based on the previous assumption, a model of network layout of cold chain logistics is set up. The genetic algorithM is applied to solve the model and optimize the network layout of cold chain for distribution of chilled or frozen foods. The physical distribution system is structured in such a way that the cost for storage and transportation in the whole distribution system is minimized, and the product quality decrease is minimization. A penalty function is introduced and a computational experiment is used to test the model and algorithm.

关键词： Cold chain Genetic algorithm Optimization T.T.T. theory Penalty function

作者: Aimin Deng Min Wang Chao Mao

作者单位: Sino-German Institute of transportation and logistics, School of Business Administration.Hunan University, Changsha 410082, P.R. China

会议类型: 国际会议

会议名称: The First World Congress on Global Optimization in Engineering & Science(第一届工程与科学全局优化国际会议 WCGO2009)

会议地点: 长沙

会议语种:英文

页码: 175-181

在线出版日期: 2009-06-01（万方平台首次上网日期，不代表论文的发表时间）