Enhanced genetic algorithm optimization model for a single reservoir operation based on hydropower generation: case study of Mosul reservoir, northern Iraq

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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 single reservoir. For this purpose, two simulation algorithms were drafted and applied independen...

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i ACKNOWLEDGEMENTS I am thankful to my Committee Members for their contributions to this dissertation. I am most grateful to my major Professor, Jay Lund, for his enthusiastic guidance and endless ideas during these four years. His sense of humor contributed to having a pleasant work environment. I am indebted to Professor Richard Howitt for his valuable comments and for providing the computati...

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ژورنال

عنوان ژورنال: SpringerPlus

سال: 2016

ISSN: 2193-1801

DOI: 10.1186/s40064-016-2372-5