摘要
利用下层问题的K-T最优性条件代替下层问题,将线性二层规划问题转化成相应的单层规划,利用该单层规划构造神经网络模型,并编程实现相应的神经网络算法。数值试验结果表明,所设计的神经网络方法是可行和有效的。
Using the approach of replacing the lower level problem by the Kuhn-Tucker optimality conditions,the linear bilevel programming problem into the corresponding single level programs is transformed.Then,a neural network model is constructed to solve the single level programs.The numerical result shows that the proposed neural network approach is feasible and efficient for solving linear bilevel programs.
出处
《长江大学学报（自科版）（上旬）》
CAS
2010年第3期420-422,共3页
JOURNAL OF YANGTZE UNIVERSITY (NATURAL SCIENCE EDITION) SCI ＆ ENG
基金
国家大学生创新性试验计划项目（0917）.
关键词
线性二层规划
K-T最优性条件
神经网络
最优解
linear bilevel programming
Kuhn-Tucker condition
neural network
optimal solution
