摘要
以战时无分布函数的随机运输时间路径优化问题为研究对象,采用随机机会约束规划方法建立战时运输路径优化模型,设计了基于随机模拟获取适应度的遗传算法来求解问题模型,并处理了战时运输中的必经点问题.最后,给出的算例验证了模型和算法的有效性.
The problem of optimizing the military transportation path with stochastic time without function in war is studied. The model is constructed by stochastic chance constrained programming. The genetic algorithm based on stochastic simulation to gain fitness is designed and deals with the problem of necessity-node in war. Finally, some experiments are performed to show the effectiveness of the models and algorithms.
出处
《系统工程理论与实践》
EI
CSCD
北大核心
2005年第4期133-136,共4页
Systems Engineering-Theory & Practice
基金
空军科研项目(KJZ03452)
关键词
军事运输
最优路径
随机规划
遗传算法
military transportation
optimal path
stochastic programming
genetic algorithm
