摘要
在建立的基于随机延误与模糊损失的海战运输路径数学模型基础上,给出了基于随机模拟的遗传算法。遗传算法中采用随机数编码,显性基因与隐性基因同时参与遗传变异,使全局寻优能力更强,同时采用随机模拟的方法求解适应度,并以海战运输网络图为例,通过给出一组合理数据进行数字举例。算例表明,该方法不宜出错、贴近实际,可为海战运输路径决策提供参考。
Establish the naval battle transportation model based on stochastic delay and fuzzy loss in naval battle transportation, on the basis of it, the genetic algorithm is given based on random simulation. The genetic algorithm takes random number coding, the way of coding with stochastic numbers, dominant genes and concealed genes all taking part in crossover and mutation can reinforce the ability of gain the global optimization solution. Taking naval battle transportation network diagram as example, and some data is given as the example. The result shows that the algorithm is reasonable and efficient, which is valuable for decision-making of naval battle transportation route.
出处
《兵工自动化》
2010年第3期38-41,共4页
Ordnance Industry Automation
关键词
海战运输
随机模拟
模糊理论
遗传算法
Naval battle transportation
Stochastic simulation
Fuzzy theory
Genetic algorithm
