Volume 2 Number 4 (Aug. 2010)
Home > Archive > 2010 > Volume 2 Number 4 (Aug. 2010) >
IJCEE 2010 Vol.2 (4): 682-685 ISSN: 1793-8163
DOI: 10.7763/IJCEE.2010.V2.211

Artificial Neural Network Based Hybrid Algorithmic Structure for Solving Linear Programming Problems

L. R. Arvind Babu and B. Palaniappan

Abstract—Linear Programming Problems are mathematical models used to represent real life situations in the form of linear objective function and constraints various methods are available to solve linear programming problems. When formulating an LP model, systems analysts and researchers often include all possible constraints although some of them may not be binding at the optimal solution. The presence of redundant constraints does not alter the optimum solution(s), but may consume extra computational effort. Redundant constraints identification methods are applied for reducing computational effort in LP problems. But accuracy of the LP problems goes down due to this reduction of loops and constraints. To achieve optimality in accuracy and also in computational effort, we propose an algorithm, called, Hybrid Algorithm, it trains the constraint and parameter before applying the formal methodology.

Index Terms—Linear Programming , Redundant Constraints, Load Forecasting , Training Parameters.

Cite: L.R. Arvind Babu and B.Palaniappan, "Artificial Neural Network Based Hybrid Algorithmic Structure for Solving Linear Programming Problems," International Journal of Computer and Electrical Engineering vol. 2, no. 4, pp. 682-685, 2010.

General Information

ISSN: 1793-8163
Frequency: Quarterly
Editor-in-Chief: Prof. Yucong Duan
Abstracting/ Indexing: EI (INSPEC, IET), Ulrich's Periodicals Directory, Google Scholar, EBSCO, ProQuest, and Electronic Journals Library
E-mail: ijcee@iap.org

What's New

  • Mar 20, 2019 News!

    IJCEE Vol. 11, No. 1 is available online now.   [Click]

  • Aug 06, 2018 News!

    IJCEE Vol. 8, No. 4 - Vol. 9, No. 1 have been indexed by EI (Inspec) Inspec, created by the Institution of Engineering and Tech.!   [Click]

  • Mar 20, 2019 News!

    The dois of published papers in Vol. 9, No. 1- Vol. 10, No. 4 have been validated by Crossref.

  • Dec 29, 2018 News!

    IJCEE Vol. 10, No. 4 is available online now.   [Click]

  • Oct 12, 2018 News!

    IJCEE Vol. 10, No. 3 is available online now.   [Click]

  • Read more>>