摘要
文中充分考虑了集装箱配载的约束条件,通过分析待装货物的参数,建立空间栈和间隙栈分割合并集装箱空间,然后利用遗传算法预分配货物,最后通过遗传变异操作,推算出相对高效的配载方案,以期能提高我军集装箱配载效率。
Taking the practical constraints of container loading into consideration in detail,this paper established a＂Space stack＂and a ＂Clearance stack＂to split the space of container by analysis the parameters of the goods. Then Genetic Algorithm was used to allocate goods in advance and to determine a relatively efficient solution,which improve the loading efficiency of our army greatly.
出处
《物流工程与管理》
2015年第9期104-106,86,共4页
Logistics Engineering and Management
关键词
集装箱配载
现实约束
遗传算法
优化
container loading
practical constraints
genetic algorithm
optimization
