Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Saeid AK"'
Publikováno v:
پژوهشهای کاربردی روانشناختی, Vol 15, Iss 3, Pp 293-313 (2024)
The objective of this study was to examine the mediating role of cognitive regulation of emotion and self-compassion in the relationship between psychological well-being and mindfulness. The research method is implemented in accordance with the purpo
Externí odkaz:
https://doaj.org/article/c2e31ec8430840598fe133c783c1d015
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
Publikováno v:
KONA Powder and Particle Journal, Vol 41, Iss 0, Pp 123-139 (2023)
Nowadays, the environmental crisis caused by using fossil fuels and CO2 emissions has become a universal concern in people’s lives. Photocatalysis is a promising clean technology to produce hydrogen fuel, convert harmful components such as CO2, and
Externí odkaz:
https://doaj.org/article/1ac42a5975a4431f92c6a60995b310c2
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
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
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
Autor:
Mohammad Khodayarifard, Bagher GhobariBonab, Mohsen Shokouhi Yekta, Behrouz TahmasbKazemi, Alinaghi Faghihi, masood azarbayejani, Saeid AkbariZardkhaneh, GholamAli Afrooz, Khosrow Bagheri, Morteza Manteghi, HamidReza Ayatollahi, Ziae Hashemi, Rouhollah Shahabi, Seyyed Mohsen Fatemi, Abdolrahim Gavahi, Younes Nourbakhsh, Soheyla Fartash, Alireza ShojaeiZand, Vali allah Farzad, Seyyed Jafar Vaezi, Milad Ghorbani vanajami, saeid zandi, Saeed sajjadi Anari, Soraya Alavinezhad
Publikováno v:
پژوهشنامه روانشناسی مثبت, Vol 4, Iss 4, Pp 69-84 (2019)
So far a variety of programs have been executed on religious education but effectiveness of them is doubt. Therefore it is necessary to arrange some kind of religious education so that it could enable us to empirically examine its effectiveness. To a
Externí odkaz:
https://doaj.org/article/80a27adeac8a4e8d87a3afb879a8e2e2
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