Optimization of a Logistics Transportation Network Based on a Genetic Algorithm

In order to solve the problem of genetic algorithm, author proposes a research on optimization logistics transportation network. First, combined with distribution characteristics logistics, starting from relevant theories vehicle routing problems, travel distance is considered in basic model optimization, soft time window established minimize total cost, respectively, and multiple centers. Second, this basis, according actual problems needs research, using principle solution algorithm design built carried out we use MATLAB for programming, so that finally realized. We set T = 100, S 50, Pc 0.95, Pm 0.1. β1 0.005, β2 1, β3 0.005. Finally, data G supermarket chain region are used as experimental data; by picking two shipping instances, constructed models designed verified, respectively.