路径约束下基于人工智能的智慧航空旅游动态寻径方法

为了提高智慧航空旅游动态寻优控制能力,提出一种基于人工智能的路径约束下智慧航空旅游动态寻径方法。采用多目标进化方法进行智慧航空旅游动态寻径的路径约束控制,结合粒子群方法进行智慧航空旅游动态寻径的路径优化选择,采用多目标Pareto映射方法进行智慧航空旅游的路径规划设计,结合信息素导引方法进行智慧航空旅游动态寻径的自适应控制,构建智慧航空旅游动态寻径的蚁群滤波模型,根据蚁群路径约束寻优方法构建智慧航空旅游动态寻径的人工智能算法,实现智慧航空旅游动态寻径的人工智能控制和自适应寻优。仿真结果表明,采用该方法进行智慧航空旅游动态寻径的自适应性能较好,路径优化控制能力较强。

Intelligent aeronautical tourism dynamic routing method based on artificial intelligence under path constraints

In order to improve the dynamic optimization control ability of intelligent aviation tourism,a dynamic path finding method of intelligent aviation tourism under path constraints based on artificial intelligence(Al)is proposed.The multi-objective evolutionary method is used to control the path constraints of intelligent aviation tourism dynamic routing,and the particle swarm optimization method is used to optimize the path selection of intelligent aviation tourism dynamic routing.The path planning and design of intelligent aviation tourism is carried out by using multi-objective Pareto mapping method,and the adaptive control of intelligent aviation tourism dynamic path finding is carried out by means of pheromone guidance method,and the ant colony filter model of intelligent aviation tourism dynamic path finding is constructed.According to the ant colony path constraint optimization method,the artificial intelligence algorithm of intelligent aviation tourism dynamic path finding is constructed,and the artificial intelligence control and adaptive optimization of intelligent aviation tourism dynamic path finding are realized.The simulation results show that the adaptive performance of this method is better and the ability of path optimiza?tion control is better.