基于莱维搜索的寄生算法在气动优化中的应用

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。%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.