智能仿生算法在移动机器人路径规划优化中的应用综述

Path planning optimization problem has always been one of the important issues of the mobile robotics research. With the expansion of the fields of mobile robot applications and the complication of its working environment, traditional path planning algorithms become difficult to meet people's requirements due to their own limitations. In recent years, bioinspired intelligent algorithmsBIAsare widely used in mobile robot path planning optimization because of its collective intelligence of the group and the characteristics of biological preference. First, this paper classifies the bioinspired intelligent algorithms used in the path planning optimization according to their sources of the biomimetic mechanism. Then, to optimize the latest research results and summarize existing problems and solutions, various new bioinspired intelligent algorithms used in the path planning optimization are described systematically according to different categories, and a detailed comparison and analysis of the algorithms performance in path planning optimization is also provided. Finally, further research direction about it will be discussed.