Forecasting Pollution Using Numerical Simulation Implementing Artificial Bee Colony Optimization
In this article, an optimization strategy is presented for the numerical solution of Burgers’ equations, which play an important role in estimating and forecasting pollution. The method involves the exponential B-spline basis function as the basis function in the differential quadrature method. Sinc...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2023-01-01
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| Series: | Discrete Dynamics in Nature and Society |
| Online Access: | http://dx.doi.org/10.1155/2023/5844407 |
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| _version_ | 1850163065631277056 |
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| author | Geeta Arora Harshdeep Kaur Homan Emadifar Samaneh Roudgarnejad Hesam Emadifar |
| author_facet | Geeta Arora Harshdeep Kaur Homan Emadifar Samaneh Roudgarnejad Hesam Emadifar |
| author_sort | Geeta Arora |
| collection | DOAJ |
| description | In this article, an optimization strategy is presented for the numerical solution of Burgers’ equations, which play an important role in estimating and forecasting pollution. The method involves the exponential B-spline basis function as the basis function in the differential quadrature method. Since exponential B-spline involves a parameter, the artificial bee colony optimization algorithm is implemented to find the unknown parameters that result in the minimum error. Among the metaheuristic optimization algorithms, the artificial bee colony (ABC) is one that has received the greatest attention from researchers and has been successfully implemented to solve various problems in engineering and sciences. The proposed work emphasizes the calculation of the parameter of exponential basis functions, a major factor that plays a role in the error calculation using the ABC optimization algorithm. The acquired findings are provided as tables, and the physical behaviour is showcased in the form of figures and tables. The results are in good conformity with the earlier studies. |
| format | Article |
| id | doaj-art-eeeea12aa6734a5d8bf45d552263e129 |
| institution | OA Journals |
| issn | 1607-887X |
| language | English |
| publishDate | 2023-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Discrete Dynamics in Nature and Society |
| spelling | doaj-art-eeeea12aa6734a5d8bf45d552263e1292025-08-20T02:22:24ZengWileyDiscrete Dynamics in Nature and Society1607-887X2023-01-01202310.1155/2023/5844407Forecasting Pollution Using Numerical Simulation Implementing Artificial Bee Colony OptimizationGeeta Arora0Harshdeep Kaur1Homan Emadifar2Samaneh Roudgarnejad3Hesam Emadifar4Department of MathematicsDepartment of MathematicsDepartment of MathematicsDepartment of AgronomyDepartment of AgronomyIn this article, an optimization strategy is presented for the numerical solution of Burgers’ equations, which play an important role in estimating and forecasting pollution. The method involves the exponential B-spline basis function as the basis function in the differential quadrature method. Since exponential B-spline involves a parameter, the artificial bee colony optimization algorithm is implemented to find the unknown parameters that result in the minimum error. Among the metaheuristic optimization algorithms, the artificial bee colony (ABC) is one that has received the greatest attention from researchers and has been successfully implemented to solve various problems in engineering and sciences. The proposed work emphasizes the calculation of the parameter of exponential basis functions, a major factor that plays a role in the error calculation using the ABC optimization algorithm. The acquired findings are provided as tables, and the physical behaviour is showcased in the form of figures and tables. The results are in good conformity with the earlier studies.http://dx.doi.org/10.1155/2023/5844407 |
| spellingShingle | Geeta Arora Harshdeep Kaur Homan Emadifar Samaneh Roudgarnejad Hesam Emadifar Forecasting Pollution Using Numerical Simulation Implementing Artificial Bee Colony Optimization Discrete Dynamics in Nature and Society |
| title | Forecasting Pollution Using Numerical Simulation Implementing Artificial Bee Colony Optimization |
| title_full | Forecasting Pollution Using Numerical Simulation Implementing Artificial Bee Colony Optimization |
| title_fullStr | Forecasting Pollution Using Numerical Simulation Implementing Artificial Bee Colony Optimization |
| title_full_unstemmed | Forecasting Pollution Using Numerical Simulation Implementing Artificial Bee Colony Optimization |
| title_short | Forecasting Pollution Using Numerical Simulation Implementing Artificial Bee Colony Optimization |
| title_sort | forecasting pollution using numerical simulation implementing artificial bee colony optimization |
| url | http://dx.doi.org/10.1155/2023/5844407 |
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