PEMFC model parameter optimization based on a hybrid PSO algorithm

Journal of Computational Information Systems

Volumn 7, Issue 2, 2011, Pages 479-486

  Li, Xin ^a,b   Yan, Qun ^a   Yu, Datai ^a  

^a UNIVERSITY OF SCIENCE AND TECHNOLOGY BEIJING   (China)

^b HENAN UNIVERSITY OF TECHNOLOGY   (China)

Author keywords

Computational intelligence; Parameter optimization; Particle swarm optimization; PEMFC

Indexed keywords

COMPUTATIONAL INTELLIGENCE; FUEL CELL POWER SYSTEMS; FUEL CELL SYSTEM; HIGHLY SENSITIVE; HYBRID PSO; MODEL PARAMETER OPTIMIZATION; OPTIMIZATION TECHNIQUES; PARAMETER OPTIMIZATION; PARAMETER OPTIMIZATION TECHNIQUES; PEMFC; POLYMER ELECTROLYTE MEMBRANE FUEL CELLS; SEMIEMPIRICAL MODELS; SOCIAL BEHAVIOR; STOCHASTIC OPTIMIZATION TECHNIQUES;

ARTIFICIAL INTELLIGENCE; COMPUTER SIMULATION; MATHEMATICAL MODELS; PROTON EXCHANGE MEMBRANE FUEL CELLS (PEMFC);

PARTICLE SWARM OPTIMIZATION (PSO);

EID: 79953730956     PISSN: 15539105     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

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