Parameter Calibration of the Nonlinear Muskingum Model using Harmony Search
By Zong Woo Geem, Joon-Hoon Kim, Y. Yoon. 2000
97 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/fa3f5852b0a867fc190070bf22c144ed0f3c85a1
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Zong Woo Geem
- Mohammad Fesanghary
- Mahamed G. H. Omran
- Mehrdad Mahdavi
- Xin-She Yang
- Majid Minary-Jolandan
- Y. Alizadeh
- Mehmet Polat Saka
Citations in the corpus
- Global-best harmony search (2008, methodology): “The HS has been successfully applied to Many optimization problems [11,7,15,8,16,5].”
- An improved harmony search algorithm for solving optimization problems (2007, unknown): “harmony search algorithm had been very successful in a wide variety of optimization problems [2–6], presenting several advantages with respect to traditional optimization techniques such as the following [6]: (a) HS algorithm imposes fewer mathematical requirements and does not require initial value”
- Hybridizing harmony search algorithm with sequential quadratic programming for engineering optimization problems (2008, background): “It has been successfully applied to various benchmark and real-world problems including traveling salesman problem [13], parameter optimization of river flood model [14], design of pipeline network [15,16], and design of truss structures [17].”
- Particle-swarm harmony search for water network design (2009, background): “…analysis (Cheng et al. 2008), ground-water modelling (Ayvaz 2007), multiple-dam operation (Geem 2007a), hydrologic parameter calibration (Kim et al. 2001, Paik et al. 2005), heat and power generation (Vasebi et al. 2007), and oceanic structure mooring (Ryu et al. 2007), as well as…”