关键词: 线性约束, 非线性规划, 神经网络, 稳定点

Abstract: In this paper，an algorithm for solving the optimal solution of nonlinear programming with linear constraints is proposed.The problem is translated into convex quadratic programming basis of penalty function for solving optimal problem.Then the energy function which is content with converging on the stabilization point by the properties of neural network is defined.The result of the computer experiment shows that the proposed method is effective and correct.It can also solve parametric nonlinear programming and multi-objective programming.

Key words: linear constraints, nonlinear programming, neural network, stabilization point