A Study on Cost Function of UAV Path Planning Based on Genetic Algorithm
Liwei Chen · Fire Control and Command Control · 2012
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.