| 265 | 2 | 16 |
| 下载次数 | 被引频次 | 阅读次数 |
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。
Abstract：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.
[1]周明,孙树栋.遗传算法原理及应用[M].北京:国防工业出版社,1999.
[2]EGEA J A,BANGA J R.Scatter search for chemical and bio-process optimization[J].Global Optim,2007,37(3):481-503.
[3]REGIS R G,SHOEMAKER C A.Constrained global opti-mization using radial basis functions[J].Global Optim,2005,31:153-171.
[4]CHEN W.A note on radial basis function computing[J].Nonlinear Modelling Sci&Engng,2001,25:59-65.
[5]熊正超,吴宗敏.径向基函数逼近中的若干问题研究[D].上海:复旦大学,2007.
[6]廖莉,林家恒,张承慧.用遗传算法求解供水泵站的效率优化问题[J].中国工程科学,2002,4(9):54-58.
基本信息:
DOI：
中图分类号:O224
引用信息:
[1]张强,张雅波,马树.一种基于径向基函数插值的全局优化算法[J].天津工程师范学院学报,2010,20(04):38-40.
基金信息: