摘要
首先利用对数函数和指数函数的凹凸性构造目标函数的线性下界函数,从而建立问题(P)的松弛线性规划,然后给出求解问题(P)的分支定界算法。最后数值算例表明算法是可行的。
First, a lower linear function of the objective function is constructed by utilizing the concavity and convexity of the logarithmic function and the exponential function, and a linear relaxation program of the original problem ( P ) is given. Then the branch and bound algorithm is proposed for the problem (P). Finally, numerical computation is given to illustrate the feasibility of the proposed algorithm.
出处
《龙岩学院学报》
2015年第2期13-17,共5页
Journal of Longyan University
基金
龙岩学院校立服务海西面上项目(LYXY2011059)
关键词
全局优化
分式规划
分支定界
global optimization
fractional programming
branch and bound