Optimization of Multi-level Inventory of Random Demand Based on Co-evolutionary Genetic Algorithms

Considering a random feature can be found on the demand of ordnance maintenance material, Under the hypothesis that the ordering police of both campaign storage and tactical warehouses is of periodical inspection, the mathematic models of optimizing periodical inspection interval and order quantity at the same time are established and solved using co-evolutionary genetic algorithm, An example verifies the effectiveness of the models and algorithm.