Optimal Solution of Linear Programming Problem Using Python and TORA: A Comparative Analysis
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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.
Optimal Solution of Linear Programming Problem Using Python and TORA: A Comparative Analysis. (2025). International Journal of Latest Technology in Engineering Management & Applied Science, 14(13), 198-200. https://doi.org/10.51583/IJLTEMAS.2025.1413SP040
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References
Hamdy A. TAHA, Operations Research (Seventh Edition)
Introduction to Machine Learning with Python

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Optimal Solution of Linear Programming Problem Using Python and TORA: A Comparative Analysis. (2025). International Journal of Latest Technology in Engineering Management & Applied Science, 14(13), 198-200. https://doi.org/10.51583/IJLTEMAS.2025.1413SP040