An approach to optimize bed sill design using multi-objective evolutionary algorithms-Reference-Cited by-同舟云学术

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An approach to optimize bed sill design using multi-objective evolutionary algorithms

Published:2021-07-19 Issue:15 Volume:80 Page:
ISSN:1866-6280
Container-title:Environmental Earth Sciences
language:en
Short-container-title:Environ Earth Sci

Author:

Tabatabai Mohammad Reza Majdzadeh,Adineh Saeedeh,Alimohammadi Saeed,Ghoreishi Seyed Hosein

Publisher

Springer Science and Business Media LLC

Subject

Earth-Surface Processes,Geology,Pollution,Soil Science,Water Science and Technology,Environmental Chemistry,Global and Planetary Change

Link

https://link.springer.com/content/pdf/10.1007/s12665-021-09688-2.pdf

Reference48 articles.

1. Afshar A, Rasekh A, Afshar MH (2009) Risk-based optimization of large flood-diversion systems using genetic algorithms. J Eng Optim 41(3):259–273

2. Flood Control District of Maricopa C (2013) Drainage design manual for Maricopa County, Arizona [Phoenix: Ariz.]

3. Azamathulla HM (2012) Gene expression programming for prediction of scour depth downstream of sills. J Hydrol 460:156–159

4. Bai T, Wu L, Chang JX, Huang Q (2015) Multi-objective optimal operation model of cascade reservoirs and its application on water and sediment regulation. J Water Resour Manag 29(8):2751–2770

5. Biedenharn DS, Hubbard LC (2001) Design considerations for siting grade control structures, Vicksburg, Miss: U.S. Army Engineer Research and Development Center

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