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Cichocki, A., Unbehauen, R., Weinzierl, K. and Holzel, R. (1996) A New Neural Network for Solving Linear Programming Problems. European Journal of Operation Research, 93, 244-256.
https://doi.org/10.1016/0377-2217(96)00044-6

has been cited by the following article:

• TITLE: Easy Simplex (AHA Simplex) Algorithm

  AUTHORS: A. H. Ansari

  KEYWORDS: Linear Programming, Simplex Algorithm, Optimal Solution, Easy Simplex Algorithm, AHA Simplex Algorithm

  JOURNAL NAME: Journal of Applied Mathematics and Physics, Vol.7 No.1, January 10, 2019

  ABSTRACT: The purpose of this research paper is to introduce Easy Simplex Algorithm which is developed by author. The simplex algorithm first presented by G. B. Dantzing, is generally used for solving a Linear programming problem (LPP). One of the important steps of the simplex algorithm is to convert all unequal constraints into equal form by adding slack variables then proceeds to basic solution. Our new algorithm i) solves the LPP without equalize the constraints and ii) leads to optimal solution definitely in lesser time. The goal of suggested algorithm is to improve the simplex algorithm so that the time of solving an LPP will be definitely lesser than the simplex algorithm. According to this Easy Simplex (AHA Simplex) Algorithm the use of Big M method is not required.