A Neural Network Based Optimization Method for a Kind of QPPs and Application

Authors:
Shiehshing Lin
Affiliations:
Department of Electrical Engineering, Saint John's University, 499, Sec. 4, Tam King Road, Tamsui, Taipei, Taiwan
Venue:
ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Advances in Neural Networks, Part III
Year:
2007

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Numerical solution of special linear and quadratic programs via a parallel interior-point method

Parallel Computing - Special issue: Parallel computing in numerical optimization

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Abstract

In this paper, we present a neural network based optimization method for solving a kind of quadratic programming problems (QPPs) with equality and inequality constraints. The proposed method is appropriate for distributed implementation and can be used as a basic optimization module for managing optimization problems of large distributed systems. We test the proposed method in a real PC-Network for power system state estimation problem. Several cases are considered and obtain some successfully results.