Parameter Optimization of Street-Phelps Model Based on Particle Swarm Optimization

Bi Zhang; Jia Yang Wang; Zuo Yong Li

doi:10.4028/www.scientific.net/AMR.710.647

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 710Parameter Optimization of Street-Phelps Model...

Parameter Optimization of Street-Phelps Model Based on Particle Swarm Optimization

Abstract:

Particle swarm optimization (PSO) is introduced and tried to optimize the parameters of Street-Phelps model. Here, the inertial adjustment method was used to adopt the inertial weight of PSO. Parameters of Street-Phelps model were optimized by PSO, the performance is compared with other method. Results show that PSO plays an important role in solving global optimization problem, and demonstrate the effectiveness and higher accuracy than other methods.

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Periodical:

Advanced Materials Research (Volume 710)

Pages:

647-650

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.710.647

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Online since:

June 2013

Authors:

Bi Zhang, Jia Yang Wang, Zuo Yong Li

Keywords:

Inertial Adjustment Method, Parameter Optimization, Particle Swarm Optimization (PSO), Street-Phelps Model

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