Optimization of Developed Irrigation System Network Using Genetic Algorithms.
El-Zahaby, A., EL-Nashar, A., Abd El-Rahman, B. (2020). Optimization of Developed Irrigation System Network Using Genetic Algorithms.. EKB Journal Management System, 39(1), 8-22. doi: 10.21608/bfemu.2020.103093
A. El-Zahaby; Amr EL-Nashar; Bahgat Abd El-Rahman. "Optimization of Developed Irrigation System Network Using Genetic Algorithms.". EKB Journal Management System, 39, 1, 2020, 8-22. doi: 10.21608/bfemu.2020.103093
El-Zahaby, A., EL-Nashar, A., Abd El-Rahman, B. (2020). 'Optimization of Developed Irrigation System Network Using Genetic Algorithms.', EKB Journal Management System, 39(1), pp. 8-22. doi: 10.21608/bfemu.2020.103093
El-Zahaby, A., EL-Nashar, A., Abd El-Rahman, B. Optimization of Developed Irrigation System Network Using Genetic Algorithms.. EKB Journal Management System, 2020; 39(1): 8-22. doi: 10.21608/bfemu.2020.103093

Optimization of Developed Irrigation System Network Using Genetic Algorithms.

MEJ- Mansoura Engineering Journal
Article 4, Volume 39, Issue 1, March 2014, Page 8-22  XML PDF (1.19 MB)
Document Type: Research Studies
DOI: 10.21608/bfemu.2020.103093
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Authors
A. El-Zahaby1; Amr EL-Nashar2; Bahgat Abd El-Rahman email 3
1Mechanical Power Engineering Department., Faculty of Engineering., Tanta University., Tanta., Egypt.
2Air Force Research Center., Egypt.
3Researcher at Mechanical Power Engineering Department., Faculty of Engineering., Mansoura
Abstract
The main objective of this research is to reach the optimum design for the developed irrigation system network using genetic algorithms, GA. As result, optimum use of water sources at the irrigation farms is reached. Each farm will obtain the required water discharge with the correct pressure within the available duration time and water delivery period, where the right combination of various pipe sizes with minimum cost are designed and constructed. The GA technique is most appropriate for optimization of developed irrigation plan, optimum networks, reduction of necessary time of watering plan, and consequently minimum cost and minimum energy can be reached. Within this research it is shown that it is economically profitable to convert from surface irrigation system to developed irrigation systems. The use of developed irrigation systems leads to water saving by 40-50% compared to surface irrigation, together with reaching maximum yield of plants. The use of GA optimization method for the studied case of 1000 feddan cultivated by crops and trees safes 41% of the irrigation system network cost compared to the manual design method.
Keywords
Genetic algorithms; Developed irrigation systems; Optimization; Water cycle
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