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Optimal control of water pollutant transmission by utilizing a combined Jacobi collocation method and mountain gazelle algorithm | ||
| Iranian Journal of Numerical Analysis and Optimization | ||
| مقالات آماده انتشار، اصلاح شده برای چاپ، انتشار آنلاین از تاریخ 27 شهریور 1403 اصل مقاله (2.07 M) | ||
| نوع مقاله: Research Article | ||
| شناسه دیجیتال (DOI): 10.22067/ijnao.2024.89204.1491 | ||
| نویسندگان | ||
| Asiyeh Ebrahimzadeh* 1؛ Raheleh Khanduzi2؛ R. Mirabbasi3؛ Elham Hashemizadeh4 | ||
| 1Department of Mathematics Education, Farhangian University, P.O. Box 14665-889, Tehran, Iran. | ||
| 2Department of Mathematics and Statistics, Gonbad Kavous University, P.O. Box 49717-99151, Gonbad Kavous, Golestan, Iran. | ||
| 3Department of Water Engineering, Faculty of Agriculture, Shahrekord University, Shahrekord, Iran. | ||
| 4Department of Mathematics, Karaj Branch, Islamic Azad University, Karaj, Iran. | ||
| چکیده | ||
| Water pollution can have many adverse effects on the environment and human health. The study of the transmission of water pollutants over a finite lifespan is carried out using an optimal control problem (OCP), with the system governed by ordinary differential equations. By utilizing the collocation approach, the OCP is transmuted to a non-linear programming problem, and then the mountain Gazelle algorithm (MGA) is applied to determine the optimal control and state solutions. A practical study demonstrated the effect of treatment on reducing water pollutants during a finite time. | ||
| کلیدواژه‌ها | ||
| Optimal control؛ Jacobi polynomials؛ Transmission of water pollutant؛ Collocation method and Mountain Gazelle algorithm | ||
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آمار تعداد مشاهده مقاله: 107 تعداد دریافت فایل اصل مقاله: 20 |
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