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...
Saved in:
Main Authors: | Al‑Aqeeli, Yousif H., Lee, Teang Shui, Abd Aziz, Samsuzana |
---|---|
Format: | Article |
Language: | English |
Published: |
SpringerOpen
2016
|
Online Access: | 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 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Optimization of operations of reservoir systems for hydropower generation in Tigris River Basin, Iraq
by: Al-Aqeel, Yousif Hashim Abdullah
Published: (2016) -
Optimization of exclusive release policies for hydropower reservoir operation by using genetic algorithm
by: Tayebiyan, Aida, et al.
Published: (2016) -
Optimization of Exclusive Release Policies for Hydropower Reservoir Operation by Using Genetic Algorithm
by: Tayebiyan A., et al.
Published: (2023) -
Evaluation of single reservoir performance for flood risk reduction using a developed simulation model: case study of Makhoul reservoir
by: Al-Aqeeli, Yousif H., et al.
Published: (2018) -
Optimization of hydropower reservoir system using genetic algorithm for various climatic scenarios
by: Tayebiyan, Aida
Published: (2015)