A New Genetic Type Method with Integrated Gradient Based Algorithm Method for Storage Optimization of Supply Chain

Based on the current situation and existing problems of supply chain's storage optimization management, a new genetic type method with integrated gradient based algorithm method for storage optimization of supply chain is proposed. This method combines the fast convergence and strong ability of local search of gradient method and global search ability of genetic algorithm. The problem of storage optimization of supply chain is applied. The research results show that the proposed method is effective and suitable.