Design of Interconnected Warehouse and Routing Optimization by BP Genetic Neural Network Algorithm

With the continuous progress of chemical industry, warehouse design needs to be diversified on account increasing complex and multitudinous perilous chemicals. In this situation, study projects conception interconnected warehouse. By taking storage points as quantity path variable, establishes a quadratic allocation model operations novel kind Then, an improved neural network algorithm is proposed ascertain optimal solution. The innovation that it releases space resources classic dangerous goods improves operational efficiency under premise ensuring safety. Finally, tested verified with data Shanghai Lingang Material Warehouse. empirical research demonstrates has ideal performance for lifting handling basis