Simplex and interior point methods foe solving budgetary allocation linear programing problem in industry revolution 4.0
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arXiv
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| Hauptverfasser: | , |
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| Format: | Preprint |
| Veröffentlicht: |
2024
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| _version_ | 1866912159590514688 |
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| author | Yaqoob, Ali Kadhim Junoh, Ahmad Kadri |
| author_facet | Yaqoob, Ali Kadhim Junoh, Ahmad Kadri |
| contents | Increasing the complexity of solving budgetary allocation (NP-hardness problem) has led a wide range of methods to minimize the costs. Metaheuristics and Linear Programming (LP) are the most optimization in this fields. Therefore, this study provides insights and a deep understanding of the applicability of LP models in industry and how to formulate SM and affine IPM for solving real world linear problems. Moreover, it will present a better way to deal with decision making problems through the development and comparison of the SM and affine IPM to solve LP optimization problem to maximize profit. Finally, to other researchers particularly of similar interests who are undertaking further investigation on this topic, this study can be vital as a secondary source of information and guidance. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2411_04929 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Simplex and interior point methods foe solving budgetary allocation linear programing problem in industry revolution 4.0 Yaqoob, Ali Kadhim Junoh, Ahmad Kadri Dynamical Systems Analysis of PDEs Classical Analysis and ODEs Increasing the complexity of solving budgetary allocation (NP-hardness problem) has led a wide range of methods to minimize the costs. Metaheuristics and Linear Programming (LP) are the most optimization in this fields. Therefore, this study provides insights and a deep understanding of the applicability of LP models in industry and how to formulate SM and affine IPM for solving real world linear problems. Moreover, it will present a better way to deal with decision making problems through the development and comparison of the SM and affine IPM to solve LP optimization problem to maximize profit. Finally, to other researchers particularly of similar interests who are undertaking further investigation on this topic, this study can be vital as a secondary source of information and guidance. |
| title | Simplex and interior point methods foe solving budgetary allocation linear programing problem in industry revolution 4.0 |
| topic | Dynamical Systems Analysis of PDEs Classical Analysis and ODEs |
| url | https://arxiv.org/abs/2411.04929 |