摘要
为了有效的识别非线性转子系统的若干参数,提出了基于遗传算法、蚁群算法和邻域搜索算法的混合方法(Ne-GAAC),该算法利用遗传算法的快速随机搜索能力的优点,形成了蚁群算法的初始信息素分布和寻优区间,同时利用了蚁群算法正反馈以及具有分布式并行全局搜索能力的优点,最终在解收敛后采用局部邻域搜索算法得到精确解,算例结果表明,该方法可以有效的识别非线性转子系统的参数。
A hybrid intelligent algorithm based on genetic algorithm, ant colony algorithm and local neighborhood- search was presented to identify parameters of a nonlinear rotor system. The merit of a quick and random searching of genetic algorithm was used for the proposed hybrid algorithm, and then the initial pheromone distribution and the optimal search space of ant colony algorithm were achieved. The merits of positive feedback, parallel processing and global searching in ant colony algorithm were utilized for the proposed hybrid algorithm. Finally, the local neighborhood-search was used to achieve the exact solutions. The validity and effectiveness of the method to identify parameters of a nonlinear rotor system were demonstrated with several numerical simulations.
出处
《振动与冲击》
EI
CSCD
北大核心
2012年第17期111-115,共5页
Journal of Vibration and Shock
基金
973(2011CB706504)
国家科技重大专项(2009ZX04001-031)
资助项目(2009ZX04014-034)
关键词
参数识别
遗传算法
蚁群算法
局部邻域搜索
parameter identification
genetic algorithm
ant colony algorithm
local neighborhood-search
