Application of BP neutral network based on Real-coded accelerating genetic algorithm in the selection of distributor

Distributor is an important link connecting manufacturers and final customers, and it is an integral part in the Supply Chain Management process. So distributor selection is particularly important in construction of Supply Chain. Selecting distributor is a comprehensive evaluation course, and scientific assessment method is the premise of right choice of distributor. Selecting distributor based on Real-coded Genetic Algorithm neural network in order to compensate for lack of BP neural network gives full play to the advantages of overall search of genetic algorithm and local search of BP algorithm. It can be verified by examples that the method can be used to select and evaluate distributors scientifically and accurately.