scholarly journals Calibration of water quality model for distribution networks using genetic algorithm, particle swarm optimization, and hybrid methods

MethodsX ◽  
2019 ◽  
Vol 6 ◽  
pp. 540-548 ◽  
Author(s):  
Roya Peirovi Minaee ◽  
Mojtaba Afsharnia ◽  
Alireza Moghaddam ◽  
Ali Asghar Ebrahimi ◽  
Mohsen Askarishahi ◽  
...  
Keyword(s):  
Genetic Algorithm ◽  
Water Quality ◽  
Particle Swarm Optimization ◽  
Hybrid Methods ◽  
Particle Swarm ◽  
Distribution Networks ◽  
Water Quality Model ◽  
Quality Model ◽  
Swarm Optimization

Water Quality Model Parameters Estimation Based on Particle Swarm Optimization Algorithm

2012 ◽  
Vol 610-613 ◽  
pp. 1925-1929
Author(s):  
Wen Yuan Xu ◽  
Bing Xiang Liu ◽  
Xing Xu ◽  
Na Hu ◽  
Hao Hu ◽  
...  
Keyword(s):  
Water Quality ◽  
Particle Swarm Optimization ◽  
River Water ◽  
Optimization Algorithm ◽  
Particle Swarm Optimization Algorithm ◽  
Particle Swarm ◽  
Water Quality Model ◽  
River Water Quality ◽  
Quality Model ◽  
Swarm Optimization

Water quality parameter is the basic data of the river water quality mathematical model for forecasting river water quality status. In this paper, the parameter estimation problem of the analytical model, which is used to describe one-dimensional tracing test data of river streams with tracers instantaneously injected, is converted to the function optimization problem. And particle swarm optimization algorithm is applied to solve this problem. The experimental results show that the particle swarm optimization algorithm can estimate the water quality model parameter values regardless of whether the randomly sampling data has noise.

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