【摘要】 为了更好地满足部队维修器材需求,优化需求数量超过供应中心库存数的多品种维修器材分配整合供应问题,建立了保障重点、兼顾公平、效用最大的多目标优化模型。提出了采用灰色关联度方法对多目标进行处理,将多目标转化为单目标问题,并将之内嵌到改进遗传算法中。实例验证表明,该算法最优适应度值及平均适应度值可分别降低31.538 5%和37.371 1%,验证了该模型能有效减少器材分配失衡,提高器材供应效率。更多还原

【Abstract】 A multi-objective optimization model is established for multi-item maintenance material distribution to help the supply centers satisfy the maintenance material demands of troops. In the proposed model,the priority,fairness and efficiency are taken as the multi-objects. An improved genetic algorithm is combined with grey correlation degree method,which can transfer multi-objective problem to single-objective problem. The example verification shows that the best and mean fitness values are reduced by31. 538 5% and 37. 371 1%,respectively. The proposed model can be used to reduce the unfairness of multi-item maintenance material distribution,and improve the efficiency of materials supply.更多还原