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Optimization of a Fluid Catalytic Cracking Kinetic Model by Improved Particle Swarm Optimization
Author(s) -
Sun Shiyuan,
Yan Hongfei,
Meng Fandong
Publication year - 2020
Publication title -
chemical engineering and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.403
H-Index - 81
eISSN - 1521-4125
pISSN - 0930-7516
DOI - 10.1002/ceat.201800500
Subject(s) - particle swarm optimization , fluid catalytic cracking , multi swarm optimization , kinetic energy , mathematical optimization , particle (ecology) , metaheuristic , discontinuity (linguistics) , nonlinear system , computer science , differentiable function , cracking , mathematics , materials science , physics , classical mechanics , geology , mathematical analysis , oceanography , quantum mechanics , composite material
Fluid catalytic cracking (FCC) kinetic models are characterized by high dimension, nonlinearity, discontinuity, and non‐differentiability. Particle swarm optimization is easy to fall into local optima prematurely when it is applied to the optimization of kinetic models. To solve this problem, an improved two‐swarm cooperative particle swarm optimization (ITCPSO) is proposed. Considering the reaction mechanism of FCC, an 8‐lumps kinetic model was developed. According to the pilot data, nine PSO algorithms and ITCPSO are presented to estimate the parameters. The results demonstrate that better performance of global searching is gained by ITCPSO compared to other PSOs, thus, ITCPSO is expected to be implemented in the optimization of complex kinetic models.