空气动力学学报2012，Vol.30Issue(4)：533-538,6.
基于细菌觅食性的改进粒子群优化算法翼型设计
An improved particle swarm optimization based on bacterial foraging to airfoil design
摘要
Abstract
A new algorithm named Improved Particle Swarm Optimization Based on Bacterial Foraging (IPSOBF) is proposed. The new algorithm is based on the social model of Particle Swarm Optimization and an extra communicating part is adopted which enlarges the best information of the particle swarm and improves the ability of communication among the particle swarm. Besides, inspired by the Bacterial Foraging Algorithm, a mechanism of chemotactic and elimination-dispersal is introduced into IPSOBF to help get rid of strapping into local minimal. Function test results show that IPSOBF algorithm has much better optimal a-bility than PSO algorithm. IPSOBF algorithm is also applied to the optimization of airfoil design and the result proves it has better optimal effects.关键词
粒子群优化算法/细菌觅食算法/社会模型/翼型设计Key words
particle swarm optimization/bacterial foraging algorithm/social model/airfoil design分类
航空航天引用本文复制引用
夏露,李丁..基于细菌觅食性的改进粒子群优化算法翼型设计[J].空气动力学学报,2012,30(4):533-538,6.基金项目
西北工业大学翱翔之星计划资助 （）
国家自然科学基金(11172242) （11172242）
