An optimization Model and its Solution Algorithm for Distribution Network Design Problem with uncertainty demand
Based on the uncertainty characteristic about produce in the plant and demand of customer, a fuzzy chance constrained programming optimization model is presented. In the proposed model, the stochastic variables are converted into fuzzy parameters by a new method. Then, A revised hybrid genetic algorithm is developed to solve the proposed model,which are transformed into three classical transportation subproblems according to the specialty of the optimization model. And the algorithm is implemented under the Visual C++ development environment by a numerical example. From the result of simulation, the given algorithm is valid to the largescale logistics network optimization model with uncertainty demand.
distribution network optimization model genetic algorithm numerical simulation
Zhiya Chen Dezhi Zhang Shuangyan Li
School of Traffic and Transportation Engineering Central South University Changsha, P.R.China
国际会议
2007 IEEE International Conference on Automation and Lofistics
山东济南
英文
2007-08-18（万方平台首次上网日期，不代表论文的发表时间）