A Neural Network Approach for solving Semi- Infinite Linear Programming Problems
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ICNMO01_026
Index date: 9 March 2013
A Neural Network Approach for solving Semi- Infinite Linear Programming Problems abstract
In this article, we present a new algorithm for solving Semi-Infinite Linear Programming SILP) problems based on an artificial neural network concept. First the localreduction method forsolving the SILP problems is introduced. Based on the local reduction method, the Karush-KuhnTucker (KKT) conditions and gradient method are used to convert the SILP problem to an unconstrained optimization problem then, a neural network model is constructed to solve it Numerical example has been employed to indicate the accuracy of the new method
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A Neural Network Approach for solving Semi- Infinite Linear Programming Problems authors
Alireza Fakharzadeh jahromi
Department of Mathematics, Faculty of basic Sciences, Shiraz University of Technology
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