Title :
Neural network solution for general nonlinear optimization problems
Author :
Yong-Ling, Zheng ; Long-Hua, Ma ; Ji-Xin, Qian
Author_Institution :
Inst. of Syst. Eng., Control Dept, Zhejiang Univ., Hangzhou, China
Abstract :
Nonlinear optimization is the foundation of multiobjective programming. In this paper, our focus is augmented Lagrange multiplier (ALM) method which is employed in constrained nonlinear optimization propositions. A dynamic approach is raised for minimization subproblem in augmented Lagrange multiplier method and a neural network alternative algorithm for general constrained programming is proposed.
Keywords :
minimisation; neural nets; nonlinear programming; ALM method; augmented Lagrange multiplier method; constrained programming; minimization subproblem; multiobjective programming; neural network solution; nonlinear optimization problems; Constraint optimization; Dynamic programming; Lagrangian functions; Large-scale systems; Lyapunov method; Mathematics; Neural networks; Optimization methods; Stability; Systems engineering and theory;
Conference_Titel :
TENCON '02. Proceedings. 2002 IEEE Region 10 Conference on Computers, Communications, Control and Power Engineering
Print_ISBN :
0-7803-7490-8
DOI :
10.1109/TENCON.2002.1182664
