摘要
对于目标函数非凸非凹,而约束函数具有凹、凸性的非线性规划问题,本文提出了一种新的凸化凹化法。把目标函数直接凸化、凹化,再把原问题转化为反凸规划问题或极小化问题或标准D.C.规划问题,从而求得原问题的全局最优解。
This paper proposes a kind of convexification and concavification method to convert a non-convex and non-concave objective function into a convex or concave function in the programming problems with convex or concave constraint functions.Then it proves that the original programming problems can be converted into an equivalent concave minimization problem,or reverse convex programming problem,or canonical D.C.programming problem.
出处
《长春大学学报》
2008年第2期1-6,共6页
Journal of Changchun University
基金
重庆市教委基金资助项目(030801)
重庆市科委研究基金资助项目(8409)
关键词
运筹学
全局最优化问题
反凸规划问题
凹极小问题
operational research
global optimization problem
reverse convex programming problem
convex minimization problem