计算机工程与应用Issue(7)：263-266,4.DOI:10.3778/j.issn.1002-8331.1108-0420
基于遗传粒子群算法的飞行冲突解脱
Air conflict resolution based on genetic algorithm and particle swarm opti- mization
崔莉薇 1石为人 1刘祥明 1吴文政1
作者信息
- 1. 重庆大学 自动化学院，重庆 400030
- 折叠
摘要
Abstract
Flight conflict resolution is the key to control the air traffic flow and optimize flight scheduling. To enhance the search speed and avoid falling into the local optimization and premature convergence by Genetic Algorithm, a algorithm based on Genetic Algorithm and Particle Swarm algorithm is proposed to multi-vehicle confliction resolution. This algorithm inte-grates the global search capability of Genetic Algorithm and the memory function and fast convergence properties of Particle Swarm algorithm, which can effectively address the shortcomings of Genetic Algorithm. Experiments show the algorithm is able to draw good results and is better than Genetic Algorithm both in the search speed and search accuracy.关键词
空中交通/多机冲突解脱/遗传算法/粒子群算法Key words
air traffic/multi-vehicle confliction resolution/Genetic Algorithm(GA)/Particle Swarm Optimization(PSO)分类
信息技术与安全科学引用本文复制引用
崔莉薇,石为人,刘祥明,吴文政..基于遗传粒子群算法的飞行冲突解脱[J].计算机工程与应用,2013,(7):263-266,4.
