Optimal Solution of Linear Programming Problem Using Python and TORA: A Comparative Analysis
Authors
Mayuri B. Babar
Department of Mathematics, Dr. D. Y. Patil Arts, Commerce and Science College, Pimpri, Pune-18, Maharashtra, India (IN)
Varsha J. Patil
Department of Mathematics, Dr. D. Y. Patil Arts, Commerce and Science College, Pimpri, Pune-18, Maharashtra, India (IN)
Article Information
DOI: 10.51583/IJLTEMAS.2025.1413SP040
Subject Category: Computer Science
Volume/Issue: 14/13 | Page No: 198-200
Publication Timeline
Submitted: 2025-10-25
Published: 2025-10-25
Abstract
Abstract: Linear Programming (LP) is a mathematical method to optimize results under certain constraints. With the improvement of computational aids, LP problems have become easy to solve. This study compares two well-known aids: Python's PULP Library and the TORA software. Applying a new LP problem, both aids are compared for accuracy, usability and application for various user groups. The research aims to guide students, teachers and practitioners on choosing the best tool depending on their requirements.
Keywords
Linear Programming Problem, TORA Software, Python Software
This article is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).
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References
1. Hamdy A. TAHA, Operations Research (Seventh Edition) [Google Scholar] [Crossref]
2. Introduction to Machine Learning with Python [Google Scholar] [Crossref]
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