摘要
基于改进遗传算法的潜艇隐蔽航路规划,采用栅格法对规划环境进行离散化,提取原始海图数据。根据先验知识设计遗传算法初始群体产生方式和适应度函数。并以MapX控件为图形平台,在Delphi环境下进行了仿真试验。仿真结果表明,改进的潜艇隐蔽航路规划方法提高了规划效率,能够得到较好的规划结果。
Based on improved GA, the submarine concealment route planning used the grid-based approach for carrying out environment discretization to get original chart data. According to transcendent knowledge, the generating initial population was designed to create the approach and adaptability degree functions. The MapX control was taken as the image platform, and the simulation test was carried out in Delphi environment. The simulation results showed that the improved submarine concealment route planning could enhance search efficiency and get better results
出处
《兵工自动化》
2006年第9期3-4,共2页
Ordnance Industry Automation
关键词
潜艇隐蔽路线
航路规划
仿真
Submarine concealment route
Route planning
Simulation
