Modeling of Gauss Elimination Technique and AHA Simplex Algorithm for Multi-objective Linear Programming Problems

Jain, Sanjay and Mangal, Adarsh (2020) Modeling of Gauss Elimination Technique and AHA Simplex Algorithm for Multi-objective Linear Programming Problems. Asian Journal of Probability and Statistics, 8 (4). pp. 1-14. ISSN 2582-0230

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Abstract

In this research paper, an effort has been made to solve each linear objective function involved in the Multi-objective Linear Programming Problem (MOLPP) under consideration by AHA simplex algorithm and then the MOLPP is converted into a single LPP by using various techniques and then the solution of LPP thus formed is recovered by Gauss elimination technique. MOLPP is concerned with the linear programming problems of maximizing or minimizing, the linear objective function having more than one objective along with subject to a set of constraints having linear inequalities in nature. Modeling of Gauss elimination technique of inequalities is derived for numerical solution of linear programming problem by using concept of bounds. The method is quite useful because the calculations involved are simple as compared to other existing methods and takes least time. The same has been illustrated by a numerical example for each technique discussed here.

Item Type: Article
Subjects: Lib Research Guardians > Mathematical Science
Depositing User: Unnamed user with email support@lib.researchguardians.com
Date Deposited: 16 Mar 2023 12:43
Last Modified: 12 Aug 2024 07:08
URI: http://eprints.classicrepository.com/id/eprint/459

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