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Optimization of Immediate Distribution Route for Perishable Goods Based on Genetic Algorithms

Han Bingyuan,Xiao Shengling(College of Traffic and Transportation Engineering,Northeast Forestry University,Harbin 150040,P.R.China)  
A mathematical model is established by constructing time penalty function and limited capacity penalty function,and then a new method with a strongly global searching ability deduced from Liuhai's intersection method is constructed,which is an improved standard genetic algorithm.Moreover,a solving strategy on optimizing immediate distribution route for perishable goods is put forward by combining Matlab software with a typical example,thereby the feasibility and superiority of the solving strategy by modified genetic algorithms can be validated.
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