论文:2016,Vol:34,Issue(5):767-773
引用本文:
夏露, 李朗, 王亮. 基于莱维搜索的寄生算法在气动优化中的应用[J]. 西北工业大学学报
Xia Lu, Li Lang, Wang Liang. Applying the Levy Simulated Parasitism Algorithm to Airfoil Aerodynamic Optimization[J]. Northwestern polytechnical university

基于莱维搜索的寄生算法在气动优化中的应用
夏露, 李朗, 王亮
西北工业大学 航空学院, 陕西 西安 710072
摘要:
为了平衡智能优化算法的全局与局部搜索能力,对布谷鸟算法和寄生算法进行了探讨与分析,将布谷鸟算法中的莱维搜索加入到改进的寄生算法中,在增加收敛速度的同时保证个体多样性,进而发展得到了基于莱维搜索的寄生算法。通过函数测试及气动算例验证了新算法优越的寻优性能。将基于莱维搜索的寄生算法应用于翼型的气动优化设计中,取得了良好的效果,从而表明提出的算法准确有效,具有良好的实用性。
关键词:    莱维搜索    寄生算法    翼型气动优化   
Applying the Levy Simulated Parasitism Algorithm to Airfoil Aerodynamic Optimization
Xia Lu, Li Lang, Wang Liang
School of Astronautics, Northwestern Polytechnical University, Xi'an 710072, China
Abstract:
In order to balance the global and local search ability of intelligent optimization algorithm, the cuckoo search algorithm and simulated parasitic algorithm is discussed and analyzed. The mechanism of simulated parasitism model and cuckoo search is much alike, so the Levy flight search strategy of cuckoo search is introduced into the former model. So we get a optimization algorithm which is named Levy simulated parasitism algorithm. Function tests and aerodynamics problem prove that improved algorithm has better searching ability. Applying the Levy simulated parasitism algorithm to the airfoil aerodynamic optimization design, we achieve good results, which show that the proposed algorithm is effective and practical.
Key words:    the Levy flight search    the simulated parasitic algorithm    airfoil aerodynamic optimization design   
收稿日期: 2016-04-02     修回日期:
DOI:
基金项目: 国家自然科学基金(11172242)资助
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作者简介: 夏露(1977-),女,西北工业大学副教授,主要从事飞行器设计研究。
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