巡航导弹航迹规划代价函数的优化技术研究

Study on Cost Function Optimization Technique of Route Planning

巡航导弹航迹的代价直接关系到巡航导弹的作战效能。本文提出了利用遗传算法对航迹规划代价函数进行优化的方法。先采用0-1变换对代价函数中的各个指标进行规一化处理。再利用遗传算法对代价函数进行优化，得到优化之后的代价函数权重值。以优化之后的权重值进行航迹规划，可以得到代价更低的航迹。

The route cost of a cruise missile makes an essential role in combat effectiveness. This paper presents a cost function optimization method of route planning. The optimized weight values of cost function are acquired by the following two steps. Firstly, every item of the cost function is normalized with 0-1 transformation. Secondly, the cost function is optimized with Simple Genetic Algorithm （SGA）. The decreased cost route is acauired with optimized weight values.