Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Saeid Akbarifard"'
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-13 (2024)
Abstract A hybrid simulation-optimization model is proposed for the optimal conjunctive operation of surface and groundwater resources. This second-level model is created by finding and combining the best aspects of two resilient metaheuristics, the
Externí odkaz:
https://doaj.org/article/7f09344f61154f82836da516d0554fe8
Autor:
Mohammad Reza Sharifi, Saeid Akbarifard, Mohamad Reza Madadi, Kourosh Qaderi, Hossein Akbarifard
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-14 (2022)
Abstract The use of evolutionary algorithms (EAs) for solving complex engineering problems has been very promising, so the application of EAs for optimal operation of hydropower reservoirs can be of great help. Accordingly, this study investigates th
Externí odkaz:
https://doaj.org/article/6f7127bddca94a21a27affafc393c169
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-19 (2021)
Abstract Simultaneous optimization of several competing objectives requires increasing the capability of optimization algorithms. This paper proposes the multi-objective moth swarm algorithm, for the first time, to solve various multi-objective probl
Externí odkaz:
https://doaj.org/article/b3ef8326aa024bae9dd386f3d793a631
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-17 (2021)
Abstract Deriving optimal operation policies for multi-reservoir systems is a complex engineering problem. It is necessary to employ a reliable technique to efficiently solving such complex problems. In this study, five recently-introduced robust evo
Externí odkaz:
https://doaj.org/article/b4a7c21afd694acfb593b4038e7824ba
Autor:
Mohammad Reza Sharifi, Saeid Akbarifard, Mohamad Reza Madadi, Kourosh Qaderi, Hossein Akbarifard
Publikováno v:
Energy Strategy Reviews, Vol 42, Iss , Pp 100883- (2022)
Multi-reservoir system operation is a challenging and complex task, because of the curse of uncertainties, nonlinearities, dimensionalities and conflicts among the various contradictory objectives. Contemporaneous optimization of such competing objec
Externí odkaz:
https://doaj.org/article/836c3f4e61344cb9b186204e5b9abadf
Publikováno v:
Water Supply, Vol 21, Iss 2, Pp 941-958 (2021)
In this study, the capability of the recently introduced moth swarm algorithm (MSA) was compared with two robust metaheuristic algorithms: the harmony search (HS) algorithm and the imperialist competitive algorithm (ICA). First, the performance of th
Externí odkaz:
https://doaj.org/article/4c8fb10c3f984888aa8f7444c3ac679e
Publikováno v:
Data in Brief, Vol 30, Iss , Pp 105398- (2020)
This article describes the time series data for optimizing the Non-linear Muskingum flood routing of the Kardeh River, located in Northeastern of Iran for a period of 2 days (from 27 April 1992 to 28 April 1992). The utilized time-series data include
Externí odkaz:
https://doaj.org/article/3027c4e8a6184fd6b0b8eb693e38db32
Publikováno v:
Data in Brief, Vol 29, Iss , Pp - (2020)
This article describes the time series data for optimizing the hydropower operation of the Karun-4 reservoir located in Iran for a period of 106 months (from October 2010 to July 2019). The utilized time-series data included reservoir inflow, reservo
Externí odkaz:
https://doaj.org/article/e139dbe1199f4dd19cf1f1d4254a0785
Publikováno v:
MethodsX, Vol 7, Iss , Pp 100948- (2020)
In this article applies the Harris Hawks Optimization Algorithm for optimization of the water distribution network of the Homashahr located in Iran for a period of one month (from 30 September 2018 to 30 October 2019). The utilized time-series data i
Externí odkaz:
https://doaj.org/article/fddb51a27748427db6aab95b7ff8cef3
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-19 (2021)
Scientific Reports
Scientific Reports
Simultaneous optimization of several competing objectives requires increasing the capability of optimization algorithms. This paper proposes the multi-objective moth swarm algorithm, for the first time, to solve various multi-objective problems. In t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::544dfd27be52d675baf021265935803c
https://doaj.org/article/b3ef8326aa024bae9dd386f3d793a631
https://doaj.org/article/b3ef8326aa024bae9dd386f3d793a631