Optimization of Military Clothing and Bedding’s Storage Location based on Improved Chaotic Adaptive Genetic Algorithm

The storage locations for military clothing and bedding is an important part of military storage planning. Optimizing storage location can improve the efficiency of loaded outbound and shelf stability, and is a multi-objective optimization problem. Genetic algorithm is suitable for solving multi-objective optimization problems. By establishing a mathematical model and applying software to solve the algorithm, a storage location optimization plan can be obtained, which helps to improve the efficiency of warehousing operations and the ability to ensure loading.