遗传算法在船舶配件库存随机规划中的应用

Application of genetic algorithm to watercraft fittings storage random plan

针对水运企业船舶配件的需求特点 ,建立船舶配件库存随机规划模型 ,而后用遗传算法求解该模型的优化点 ,即最低库存量和最佳库存量 .通过实例说明遗传算法应用于随机存贮模型的求解是有效和可行的 .

According to the requirement characteristic of watercraft fittings in water transport enterprise, the storage random plan model was built. GA was applied to this model, the optimal stock quantity and the lowerest stock quantity were obtained. This method was demonstrated to be efficient and feasible to solve the random storage model by analysis of an example.