遗传算法在箱装军用物资垛位优化中应用  

Genetic Algorithm Is Applied in Boxed Military Material Stacking Location Optimization

作　　者：贺鑫[1] 马振书[1] 李良春[1] 葛强[1] 杜峰坡[1] 

机构地区：[1]军械工程学院军械技术研究所,石家庄050000

出　　处：《科学技术与工程》2011年第1期92-96,共5页Science Technology and Engineering

摘　　要：垛位优化是仓库管理中的一项重要工作。文章首先建立了基于总搬运距离和同一性原则的多目标优化模型——箱装军用物资垛位优化数学模型;然后采用了并列选择法的遗传算法来解决该优化问题,并给出了求解的具体步骤和操作过程;最后结合一实例对该方法的有效性进行了验证。The boxed military material stacking location is an important job in storehouse management.A multi-objective optimization model based on total handling distance and identity principle is established.Then,genetic algorithm based on paratactic selection method is selected to resolve the optimization problem,and detail steps are given.Finally,an example is applied to illustrate the model and the algorithm.

关 键 词：垛位优化 遗传算法 并列选择法 PARETO最优解 

分 类 号：E233[军事—军事理论] F715.6[经济管理—产业经济]