Neural network solution for general nonlinear optimization problems

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.