摘要
将混沌现象和邻域细化搜索策略应用于实数编码遗传算法(RCGA)中,提出了一种改进的RCGA。并将该算法应用于连续函数优化求解。与其他方法相比,表明该算法可靠且算法效率更高。
In the paper, an improved algorithm was presented while RCGA involving chaos and micro-operator of neighborhood search. The improved RCGA was employed to solve the problems of continuing function optimization. The simulation results indicate the improved algorithm is reliable and has better search efficiency than some else methods.
出处
《江西电力职业技术学院学报》
CAS
2007年第2期71-73,共3页
Journal of Jiangxi Vocational and Technical College of Electricity
关键词
实数编码遗传算法
优化
邻域搜索细化算子
real-coded genetic algorithm
optimization
micro-operator of neighborhood search
