Applying Particle Swarm Optimization to Parameter Estimation of the Nonlinear Muskingum Model-Reference-Cited by-同舟云学术

Applying Particle Swarm Optimization to Parameter Estimation of the Nonlinear Muskingum Model

Published:2009-09 Issue:9 Volume:14 Page:1024-1027
ISSN:1084-0699
Container-title:Journal of Hydrologic Engineering
language:en
Short-container-title:J. Hydrol. Eng.

Author:

Chu Hone-Jay¹²,Chang Liang-Cheng¹²

Affiliation:

1. Postdoctoral Fellow, Dept. of Bioenvironmental Systems Engineering, National Taiwan Univ., Taipei, Taiwan 10617, Republic of China (corresponding author).

2. Professor, Dept. of Civil Engineering, National Chiao Tung Univ., 1001 Ta Hsueh Road, Hsinchu, Taiwan 30050, Republic of China.

Publisher

American Society of Civil Engineers (ASCE)

Subject

General Environmental Science,Water Science and Technology,Civil and Structural Engineering,Environmental Chemistry

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29HE.1943-5584.0000070

Reference14 articles.

1. Approximate Methods for the Estimation of Muskingum Flood Routing Parameters

2. Particle Swarm Optimization Versus Genetic Algorithms for Phased Array Synthesis

3. River Stage Forecasting with Particle Swarm Optimization

4. A Split-Step PSO Algorithm in Prediction of Water Quality Pollution

5. The particle swarm - explosion, stability, and convergence in a multidimensional complex space

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