火力与指挥控制2012，Vol.37Issue(5)：132-135,139,5.
基于遗传算法的无人机航迹规划代价函数
A Study on Cost Function of UAV Path Planning Based on Genetic Algorithm
杨楠 1张健 1朱凡 1陈力威1
作者信息
- 1. 空军工程大学工程学院,西安 710038
- 折叠
摘要
Abstract
With the shortage of cost function of UAV path planning, an optimization method based on genetic algorithm is proposed. The traditional genetic algorithm is improved and the polar coordinate coding mode and path fitness function are designed. On the basis of genetic operators, the strategy for elite preserving is adopted to promote the algorithm effectiveness; Besides cost normalized and optimized thought are used to get the optimized weight values. The optimization results show this method can obtain the lower cost path.关键词
航迹规划/代价函数/遗传算法/UAVKey words
Path Planning/ Cost Function/ Genetic Algorithm/ UAV分类
信息技术与安全科学引用本文复制引用
杨楠,张健,朱凡,陈力威..基于遗传算法的无人机航迹规划代价函数[J].火力与指挥控制,2012,37(5):132-135,139,5.
