多维二次拟合函数优化方法  

Optimization Method of Multidimensional Quadratic Fit Function

作　　者：李春明[1] 王浩宇 许玟慧 李煦 Li Chunming;Wang Haoyu;Xu Wenhui;Li Xu(School of Mechanical and Control Engineering,Shengli College,China University of Petroleum,Dongying 257061,China;Shengli No.2 Middle School of Dongying City,Dongying 257051,China)

机构地区：[1]中国石油大学胜利学院机械与控制工程学院,山东东营257061 [2]东营市胜利第二中学,山东东营257051

出　　处：《甘肃科学学报》2017年第5期26-28,共3页Journal of Gansu Sciences

基　　金：山东省自然科学基金资助项目(Q2006A08);中国石油大学胜利学院科技计划项目(KY2015025)

摘　　要：二次拟合函数法也称为函数模拟法或插值函数法,是公认的经典和有效的优化方法。以丰富优化方法为目的,补充了拟合目标导函数的一次拟合导函数法,推导了极值计算公式,并在多维优化方法领域进行了拓展研究。最后提出了多维二次拟合函数法。算例结果验证了算法有效。The quadratic fit function method,also known as the function simulation method or the interpolation function method,is recognized as a classical and effective optimization method.The objectiveis to enrich the optimization method,methods The primary fitting derivative function method of fitting objective derivative function was supplemented,extreme value computational formula was derived,and the extension research was carried out in the field of multidimensional optimization method.Multidimensional quadratic fit function method was proposed.The result shows that,a numerical example was given to verify the algorithm,he algorithm was effective.

关 键 词：优化方法 二次拟合函数法 多维 一次拟合导函数法 一次拟合样度法 

分 类 号：O224[理学—运筹学与控制论] TP202[理学—数学]