Assessment of Modified Honey Bee Mating Optimization for Parameter Estimation of Nonlinear Muskingum Models

By Majid Niazkar, Seied Hosein Afzali. 2015

64 citations recorded by the source corpus.

Subfields: Ocean Engineering, Soil Science, Water Science and Technology

View Paper: https://www.semanticscholar.org/paper/4a0eabab0f45abb04d11789b7a1807addc6b57b2

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Ocean Engineering

1. Ozgur Kisi
2. Ahmed El-Shafie
3. Vijay P. Singh

In Soil Science

1. Vijay P. Singh
2. Ozgur Kisi
3. Hossein Bonakdari
4. Babak Mohammadi
5. Babak Jahani
6. A. Zaji

In Water Science and Technology

1. Ozgur Kisi
2. Ahmed El-Shafie
3. Vijay P. Singh
4. Masoud Karbasi
5. Jan Adamowski
6. Ravinesh C. Deo
7. Kwok-Wing Chau
8. Mohammad Zounemat‐Kermani

Citations in the corpus

• Flood Routing in River Reaches Using a Three-Parameter Muskingum Model Coupled with an Improved Bat Algorithm (2018, methodology): “Niknazar and Afzali [29] used an improved Honey Bee Algorithm (IHBA) to optimize three parameters of the Muskingum method, and found it to be superior to GA and PSO.”