The accuracy and efficiency of GA and PSO optimization schemes on estimating reaction kinetic parameters of biomass pyrolysis

Reaction kinetic parameters estimation of biomass pyrolysis is a relatively difficult optimization problem due to the complexity of pyrolysis model. Two common heuristic algorithms, Genetic Algorithm (GA) and Particle Swarm Optimization (PSO), are applied to estimate the kinetic parameters of three-...

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Bibliographic Details
Published in:	Energy (Oxford) Vol. 176; pp. 582 - 588
Main Authors:	Ding, Yanming, Zhang, Wenlong, Yu, Lei, Lu, Kaihua
Format:	Journal Article
Language:	English
Published:	Oxford Elsevier Ltd 01.06.2019 Elsevier BV
Subjects:	Algorithms Biomass Biomass pyrolysis Cellulose Convergence Genetic algorithms Hemicellulose Kinetic parameters Lignin Optimization scheme Parameter estimation Particle swarm optimization PSO Pyrolysis Reaction mechanisms system optimization thermogravimetry GA Kinetic parameters PSO Optimization scheme Biomass pyrolysis
ISSN:	0360-5442, 1873-6785
Online Access:	Get full text
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