模糊蚁群优化算法在交通导航系统中的应用

摘要

Fuzzy Ant Colony Optimization Algorithm（FACOA）as a new optimal algorithm is proposed to handle fuzzy information in the transportation navigation system,such as traffic flow,road weather and so on,and to obtain the optimal navigation path quickly by integrating multiple information.It integrates fuzzy logical reasoning technology and Ant Colony Algorithm.Experimental results indicate that FACOA can handle a variety of fuzzy information in transportation navigation system,and the improved Ant Colony Algorithm can be used to get the optimal navigation path.%为了能处理交通导航系统中的模糊信息,并且能快速的综合多种信息求解最优导航路径,将模糊逻辑推理技术与改进的蚁群算法相结合提出了一种新的算法——模糊蚁群混合优化算法。实验表明,该算法不仅能够处理导航系统中的各种模糊信息,并且能利用改进的蚁群算法快速求解最优导航路径。