An immune genetic algorithm of optimal control for the distributed inventory system

When the distributed inventory system is considered, which consists of several warehouses based on the coordinating center, the coordinating center plays the role of the management of joint inventory. After the customers´ order lists are sent to the coordinating center, it designates specific warehouse to supply goods for the customers according to the delivery place, delivery time, the demanded quantity and inventory situation of each warehouse. When the overall inventory is lower than overall order, the center will make a joint order to the supplier for each warehouse. In order to satisfy the different random distribution of supply and demand side, in the case of limited capital, inventory capacity and supply capacity, and variable costs, for specific customers´ satisfaction rate, we propose a practical algorithm to determine the inventory order strategy of each warehouse in order to minimize the total inventory costs by using an immune genetic algorithm.