Analysis of Path Planning Method based on Monte-Carlo

As the key technique of path planning system, path planning method can directly influence the performance of path planning system. According to the characteristics of different unmanned aerial vehicle, the path planning method evaluation model based on Monte-Carlo was established, and the corresponding valuation indexes were presented. By simulation and analyzing of improved A* algorithm and Genetic Algorithm with selecting different evolution strategy in different evolution period, the validity and effectiveness of evaluation model are proved. Such model can provide reference for selecting path planning method.