Shuffled Complex-Self Adaptive Hybrid EvoLution (SC-SAHEL) optimization framework
- Authors:
- Publication Date:
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1548520
- Grant/Contract Number:
- IA0000018
- Resource Type:
- Publisher's Accepted Manuscript
- Journal Name:
- Environmental Modelling and Software
- Additional Journal Information:
- Journal Name: Environmental Modelling and Software Journal Volume: 104 Journal Issue: C; Journal ID: ISSN 1364-8152
- Publisher:
- Elsevier
- Country of Publication:
- United Kingdom
- Language:
- English
Citation Formats
Rahnamay Naeini, Matin, Yang, Tiantian, Sadegh, Mojtaba, AghaKouchak, Amir, Hsu, Kuo-lin, Sorooshian, Soroosh, Duan, Qingyun, and Lei, Xiaohui. Shuffled Complex-Self Adaptive Hybrid EvoLution (SC-SAHEL) optimization framework. United Kingdom: N. p., 2018.
Web. doi:10.1016/j.envsoft.2018.03.019.
Rahnamay Naeini, Matin, Yang, Tiantian, Sadegh, Mojtaba, AghaKouchak, Amir, Hsu, Kuo-lin, Sorooshian, Soroosh, Duan, Qingyun, & Lei, Xiaohui. Shuffled Complex-Self Adaptive Hybrid EvoLution (SC-SAHEL) optimization framework. United Kingdom. https://doi.org/10.1016/j.envsoft.2018.03.019
Rahnamay Naeini, Matin, Yang, Tiantian, Sadegh, Mojtaba, AghaKouchak, Amir, Hsu, Kuo-lin, Sorooshian, Soroosh, Duan, Qingyun, and Lei, Xiaohui. Fri .
"Shuffled Complex-Self Adaptive Hybrid EvoLution (SC-SAHEL) optimization framework". United Kingdom. https://doi.org/10.1016/j.envsoft.2018.03.019.
@article{osti_1548520,
title = {Shuffled Complex-Self Adaptive Hybrid EvoLution (SC-SAHEL) optimization framework},
author = {Rahnamay Naeini, Matin and Yang, Tiantian and Sadegh, Mojtaba and AghaKouchak, Amir and Hsu, Kuo-lin and Sorooshian, Soroosh and Duan, Qingyun and Lei, Xiaohui},
abstractNote = {},
doi = {10.1016/j.envsoft.2018.03.019},
journal = {Environmental Modelling and Software},
number = C,
volume = 104,
place = {United Kingdom},
year = {Fri Jun 01 00:00:00 EDT 2018},
month = {Fri Jun 01 00:00:00 EDT 2018}
}
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https://doi.org/10.1016/j.envsoft.2018.03.019
https://doi.org/10.1016/j.envsoft.2018.03.019
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Cited by: 26 works
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