人工蜂群算法及其在路径寻优问题上的应用

Artificial Bee Colony Algorithm and Its Application in Route Optimization

针对多旋翼无人机路径寻优问题,结合人工蜂群算法的特点,提出一种改进的人工蜂群算法,根据飞行原理,建立飞行环境矢量化模型,并对其飞行过程的相关约束条件综合分析,结合路径规划的目的与要求构建出路径规划的目标函数模型,利用人工蜂群算法结构清晰、自适应能力强等特点,实现多旋翼无人机路径规划算法,并结合相关寻优手段对算法进行改进,以增强算法的寻优能力。

Aiming at the route optimization problem of multi-rotor unmanned aircrafts,combined with the characteristics of artificial bee colony algorithm,an improved artificial bee colony algorithm is proposed.According to the flight principle,the vectorization model of flight environment is established,the relevant constraints of its flight process are comprehensively analyzed,and the objective function model of route planning is constructed in combination with the purpose and requirements of route planning,the characteristics of clear structure and strong adaptability of artificial bee colony algorithm are utilized,the route planning algorithm of multi-rotor unmanned aircrafts is realized,and the algorithm is improved in combination with the relevant optimization means to enhance the optimization ability of the algorithm.