Investigation the Effect of Using Variable Values for the Parameters of the Linear Muskingum Method Using the Particle Swarm Algorithm (PSO)

Investigation on the Drag Coefficient of the Steady and Unsteady Flow Conditions in Coarse Porous Media

“…Particle swarm optimization (PSO) algorithm is a population-based evolutionary algorithm and is used in civil engineering and water resources optimization problems such as reservoir performance (Nagesh Kumar and Janga Reddy, 2007), water quality management (Afshar et al 2011, Lu et al 2002, Chau, 2005 and optimization of the Muskingum method coefficients (Chu and Chang 2009, Moghaddam et al 2016, Bazargan and Norouzi 2018, Norouzi and Bazargan 2020, Norouzi and Bazargan 2021. Therefore, in the present study, the particle swarm optimization (PSO) algorithm was used to optimize the coefficients of the Forchheimer binomial equation (Eq.…”

Investigation on the Drag Coefficient of the Steady and Unsteady Flow Conditions in Coarse Porous Media

“…Particle swarm optimization (PSO) algorithm is a population-based evolutionary algorithm and is used in civil engineering and water resources optimization problems such as reservoir performance (Nagesh Kumar and Janga Reddy, 2007), water quality management (Afshar et al 2011, Lu et al 2002, Chau, 2005 and optimization of the Muskingum method coefficients (Chu and Chang 2009, Moghaddam et al 2016, Bazargan and Norouzi 2018, Norouzi and Bazargan 2020.…”

تخمین پارامترهای غیرخطی مدل ماسکینگام در مدل روندیابی سیلاب با الگوریتم نوین سنجاقک

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