Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Habib Akbari-Alashti"'
Publikováno v:
آب و فاضلاب, Vol 25, Iss 5, Pp 49-59 (2015)
This paper employs nonlinear programming (NLP), genetic algorithm (GA), and fixed length gene genetic programming (FLGGP) for the real-time operation of a three-reservoir system (Karoon4, Khersan1, and Karoon3 reservoirs) in which dependent and indep
Externí odkaz:
https://doaj.org/article/f8b6b47e322341a89d2566bbd9de95e6
Autor:
Habib Akbari Alashti, O. Bozorg Haddad
Publikováno v:
مجله آب و خاک, Vol 28, Iss 3, Pp 492-502 (2014)
Considering the necessity of desirable operation of limited water resources and assuming the significant role of dams in controlling and consuming the surface waters, highlights the advantageous of suitable operation rules for optimal and sustainable
Externí odkaz:
https://doaj.org/article/1b93f215fe544577b00d984bfb235a63
Autor:
Andrea Soncini, Habib Akbari‐Alashti, Daniele Bocchiola, Yagob Dinpashoh, Ahmad Fakheri-Fard, Siamak Talatahari
Publikováno v:
Hydrological Processes.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d4e4613f629066c453854dc09dc947c6
https://doi.org/10.1002/hyp.13254
https://doi.org/10.1002/hyp.13254
Publikováno v:
Water Resources Management. 29:3357-3370
This paper develops a new method for real-time operation of reservoir systems. Genetic programming (GP) and a developed fixed length gene GP (FLGGP) are applied and compared in two approaches of static and dynamic operation rules with the aim of hydr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::88ed3804dd88f2c9a0802659e780d7b9
https://doi.org/10.1007/s11269-015-1003-1
https://doi.org/10.1007/s11269-015-1003-1
Publikováno v:
Water Resources Management. 29:3211-3225
Forecasting flow in rivers has special significance in surface water management, especially in agricultural planning and risk reduction of floods and droughts. In recent years, studies have shown the superiority of forecasting models based on artific
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::18cdfef17854e07fe6a5e471f72f3e32
https://doi.org/10.1007/s11269-015-0991-1
https://doi.org/10.1007/s11269-015-0991-1
Publikováno v:
Proceedings of the Institution of Civil Engineers - Water Management. 167:561-576
This paper employs non-linear programming, genetic algorithms and fixed-length gene genetic programming (FLGGP) for the real-time operation of a three-reservoir system (Karoon4, Khersan1 and Karoon3) in which dependent and independent approaches are
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2717561fb1feb681ab629b7da790d105
https://doi.org/10.1680/wama.13.00021
https://doi.org/10.1680/wama.13.00021
Publikováno v:
Journal of Irrigation and Drainage Engineering. 141
This paper develops and evaluates rule curves of reservoir operation and compares them for baseline and future periods. The rules are calculated by genetic programming (GP). Also, the rules extracted are based on the rate of inflow, storage volume, a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fa4cdaaceb18728be4702d14fa45ed9c
https://doi.org/10.1061/(asce)ir.1943-4774.0000807
https://doi.org/10.1061/(asce)ir.1943-4774.0000807