基于人工鱼群算法的民航运输路径智能规划算法  

Intelligent planning algorithm of civil aviation transportation path based on artificial fish swarm algorithm

作　　者：先梦瑜[1] XIAN Meng-yu(Xi’an Aeronautical Polytechnic Institute,Xi’an 710089,China)

机构地区：[1]西安航空职业技术学院,陕西西安710089

出　　处：《电子设计工程》2020年第17期20-24,共5页Electronic Design Engineering

基　　金：陕西省教育厅规划项目(SGH17V013)。

摘　　要：民航航路资源的合理分配与规划,对于民航运输效率和经济价值的提升具有重要意义。文中针对民航航路规划与最优化分析问题,建立了一般化的资源分配模型,并根据实际情况使用模糊数学改进运输模型。为解决路径优化问题,文中引入了人工鱼群算法,采用自适应参数的方法提高算法的收敛速率与输出精度。最终建立算法验证平台,对于算法的可靠性、优化率和实时性等指标进行测试与分析。在与3种常见路径规划算法的对比中,该算法无论在规划效率、成本控制和可靠程度方面均有较为明显的提升。The reasonable allocation and planning of civil aviation route resources is of great significance to the promotion of civil aviation transportation efficiency and economic value.Aiming at the problem of civil aviation route planning and optimization analysis,a general resource allocation model is established,and the transportation model is improved by using fuzzy mathematics according to the actual situation.In order to solve the problem of route optimization,this paperintroduced the artificial fish swarm algorithm,and the method of adaptive parameters is used to improve the convergence rate and output accuracy of the algorithm.Finally,an algorithm verification platform is established to test and analyze the reliability,optimization rate and real-time performance of the algorithm.In comparison with three common path planning algorithms,the algorithm has made significant progress in planning efficiency,cost control and reliability.

关 键 词：民航运输 人工鱼群算法 智能规划 自适应参数 

分 类 号：TN99[电子电信—信号与信息处理] TP393[电子电信—信息与通信工程]