Enhanced genetic algorithm optimization model for a single reservoir operation based on hydropower generation: case study of Mosul reservoir, northern Iraq
Achievement of the optimal hydropower generation from operation of water reservoirs, is a complex problems. The purpose of this study was to formulate and improve an approach of a genetic algorithm optimization model (GAOM) in order to increase the maximization of annual hydropower generation for a...
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| 主要な著者: | , , |
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| フォーマット: | 論文 |
| 言語: | English |
| 出版事項: |
SpringerOpen
2016
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| オンライン･アクセス: | http://psasir.upm.edu.my/id/eprint/54160/1/Enhanced%20genetic%20algorithm%20optimization%20model%20for%20a%20single%20reservoir%20operation%20based%20on%20hydropower%20generation.pdf http://psasir.upm.edu.my/id/eprint/54160/ https://springerplus.springeropen.com/articles/10.1186/s40064-016-2372-5 |
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http://psasir.upm.edu.my/id/eprint/54160/1/Enhanced%20genetic%20algorithm%20optimization%20model%20for%20a%20single%20reservoir%20operation%20based%20on%20hydropower%20generation.pdfhttp://psasir.upm.edu.my/id/eprint/54160/
https://springerplus.springeropen.com/articles/10.1186/s40064-016-2372-5