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线性分式规划的Frank—wolfe优化算法
引用本文:陈诚,杨森,李粉红.线性分式规划的Frank—wolfe优化算法[J].商洛师范专科学校学报,2010(2):20-21.
作者姓名:陈诚  杨森  李粉红
作者单位:[1]西安通信学院基础部,陕西西安710106 [2]河南科技大学理学院,河南洛阳471003 [3]商洛学院数学与计算科学系,陕西商洛726000
基金项目:基金项目:商洛学院科研基金项目(08SKY031)
摘    要:线性分式规划在经济管理领域有着广泛的应用,但分式规划是非线性优化模型,相对复杂。利用Frank-wolfe优化方法,将带有线性约束条件的一类线性分式规划转化为线性规划,求得此类线性分式规划的局部最优解;同时给出了算法的步骤,讨论了收敛性定理;通过数值实验,发现该算法具有迭代次数少等优点。

关 键 词:分式规划  线性化方法  收敛性

Frank-wolfe Optimization Algorithm of Linear Fractional Programming
CHEN Cheng,YANG Seng,LI Fen-Hong.Frank-wolfe Optimization Algorithm of Linear Fractional Programming[J].Journal of Shangluo Teachers College,2010(2):20-21.
Authors:CHEN Cheng  YANG Seng  LI Fen-Hong
Institution:1.Basic Courses Department,Xi'an Communication Institute,Xi'an,Shaanxi 710106;2.School of Science, Hcnan University of Science and Technology,Luoyang,Henan 471003;3.Department of Mathemtics and Computational Science,Shangluo University,Shangluo,Shaanxi 726000)
Abstract:The linear fractional programming was widely applied to economy and management field. But the linear fractional programming is nonlinear optmization model and relatively complex.Applying Frank-wolfe algorithm, the linear fractional programming with the linear constraint condition was transformed into linear programming. And the computational steps in determining all optimal solutions are given: convergence theorem is also discussed. Finally, numerial computations show that this algorithm has less iterative steps.
Keywords:fractional programming  linearization method  convergence
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