基于细菌觅食-蚁群算法的无人车路径规划

Path Planning of Unmanned Vehicle Based on Bacteria Forage-ant Colony Algorithm

随着目前人工智能的日渐普及,无线通信、网络传输和传感器技术等得到了长足的发展,人们对机器的自动化智能化要求越来越高。与此同时人们对无人驾驶技术需求越来越高,针对路况及各种可能会出现的异常问题缺少合理高效的路径优化,这使得对路径规划的研究有着重要的意义。对此,本文主要对现有的传统蚁群算法进行研究,同时考虑到当前传统蚁群算法的一些缺点,引用细菌觅食算法进行尝试改进,加深对这两个算法的认识,并进行归纳总结。

With the increasing popularity of artificial intelligence,wireless communication,network transmission and sensor technology have been greatly developed,and people have higher and higher requirements for automation and intelligence of machines.At the same time,the demand for unmanned driving technology is getting higher and higher,and there is a lack of reasonable and efficient route optimization for road conditions and various possible abnormal problems,which makes the research on route planning of great significance.In this regard,this paper mainly studies the existing traditional ant colony algorithm,and at the same time,considering some shortcomings of the current traditional ant colony algorithm,references the bacterial foraging algorithm to try to improve,deepen the understanding of the two algorithms,and make a summary.