Multi-objective optimization intelligent path planning for autonomous driving

[摘要] In order to better solve the path planning problem of autonomous driving, optimize vehicle scheduling, and minimize the total distance travelled by vehicles and the total number of vehicles, this paper proposes a multi-objective optimized intelligent path planning algorithm V-MOEA. Firstly, this paper briefly introduces the relevant problem background of autonomous driving, and introduces the model to solve the path planning problem under this background. Secondly this paper puts forward intelligent path planning algorithm for multi-objective optimization of V-MOEA, the algorithm is used to insert heuristic algorithm population structure, using the variable probability of individual optimization interchange local search method, tested the algorithm of solution and the optimal solution to the existing deviation is very small, and its efficiency and effectiveness is better than there are a lot of algorithm. Finally, the adaptability, further improvement and application of the algorithm are discussed.

[发布机构] Hunnan Campus of Northeastern University, Shenyang City,Liaoning Province, China^1

[效力级别] 计算机科学

[关键词] Autonomous driving;Intelligent path planning;Local search method;Number of vehicles;Optimal solutions;Path planning problems;Population structures;Vehicle scheduling