一种基于径向基函数插值的全局优化算法  

An effective global searching method for global optimization based on radical basis function interpolation

作　　者：张强[1] 张雅波[1] 马树[1] 

机构地区：[1]天津职业技术师范大学理学院,天津300222

出　　处：《天津工程师范学院学报》2010年第4期38-40,共3页Journal of Tianji University of Technology and Education

摘　　要：通过将径向基函数插值方法嵌入到遗传算法中,得到了求解全局优化问题的一种混合算法。该混合算法是在径向基函数插值方法的基础上进行改进的,这种改进提升了黑箱函数全局优化的收敛效果,发挥了传统数值算法在计算速度与计算精度上的优势,既能简化所求解问题,也能全局搜索。Radical basis function interpolation method is presented,by joining the genetic algorithm,so a hybridized algorithm is proposed for solving the optimization problems.To upgrade astringency effect of black-box functions in global aid fatigue optimization and bring traditional numerical optimization in calculation speed and precision into play,the algorithm based on radical basis function interpolation method is improved.Therefore,the design of the hybridized algorithm can not only simplify the global optimization target problems but also have the function of global search.

关 键 词：全局优化 黑箱函数 径向基函数 遗传算法 

分 类 号：O241.82[理学—计算数学]