Parameter Estimation of the Nonlinear Muskingum Flood-Routing Model Using a Hybrid Harmony Search Algorithm
By Halil Karahan, Gurhan Gurarslan, Zong Woo Geem. 2013
129 citations recorded by the source corpus.
Subfields: Civil and Structural Engineering, Ocean Engineering, Water Science and Technology
View Paper: https://www.semanticscholar.org/paper/2aabf7ad88fd8d41ed47a72ded4e49781e0d64da
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Civil and Structural Engineering
- Ahmed El-Shafie
- Saeed Gholizadeh
- Vijay P. Singh
- Ozgur Kisi
- Alireza Barzegar
- Demetris Koutsoyiannis
- Simon Michael Papalexiou
In Ocean Engineering
In Water Science and Technology
- Ozgur Kisi
- Ahmed El-Shafie
- Saeed Gholizadeh
- Vijay P. Singh
- Alireza Barzegar
- Masoud Karbasi
- Jan Adamowski
- Ravinesh C. Deo
Citations in the corpus
- Shape optimization of structures for frequency constraints by sequential harmony search algorithm (2013, methodology): “The HS imitates the musical performance process which takes place when a musician searches for a better state of harmony (Lee and Geem 2004), and HS has been used by researchers for solving engineering optimization problems (Nahas and Thien-My 2010, Jaberipour and Khorram 2011, Karahan et al. 2012).”
- Flood Routing in River Reaches Using a Three-Parameter Muskingum Model Coupled with an Improved Bat Algorithm (2018, methodology): “[22] applied a hybrid of GA, HAS, and nonlinear programming to a three-parameter Muskingum method for flood routing in a river, and found the hybrid algorithm more accurate.”