Evaluation of stochastic global optimization methods for modeling vapor-liquid equilibrium data

Fluid Phase Equilibria

Volumn 287, Issue 2, 2010, Pages 111-125

  Bonilla Petriciolet, Adrián ^a   Rangaiah, Gade Pandu ^b   Segovia Hernández, Juan Gabriel ^c  

^a INSTITUTO TECNOLÓGICO DE AGUASCALIENTES   (Mexico)

^b NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

^c UNIVERSITY OF GUANAJUATO   (Mexico)

Author keywords

Differential Evolution; Genetic Algorithm; Particle Swarm Optimization; Simulated Annealing; Vapor liquid equilibrium

Indexed keywords

BENCH-MARK PROBLEMS; CLASSICAL LEAST SQUARES; DATA MODELING; DIFFERENTIAL EVOLUTION; GLOBAL OPTIMIZATION PROBLEMS; LOCAL COMPOSITION MODEL; MAXIMUM LIKELIHOOD APPROACHES; NON-LINEARITY; OPTIMIZATION AND CONTROL; OPTIMIZATION PROBLEMS; SEPARATION UNITS; STOCHASTIC GLOBAL OPTIMIZATION; STOCHASTIC METHODS; STOCHASTIC OPTIMIZATION METHODS; STOPPING CRITERIA; TABU LIST; THERMODYNAMIC MODEL; VAPOR-LIQUID EQUILIBRIUM; VAPOR-LIQUID EQUILIBRIUM DATA; VLE DATA;

ANNEALING; DIESEL ENGINES; E-LEARNING; GENETIC ALGORITHMS; GLOBAL OPTIMIZATION; IMAGE RETRIEVAL; LIQUIDS; MAXIMUM LIKELIHOOD ESTIMATION; METAL ANALYSIS; PARAMETER ESTIMATION; PARTICLE SWARM OPTIMIZATION (PSO); PHASE EQUILIBRIA; STOCHASTIC MODELS; STOCHASTIC SYSTEMS; THERMODYNAMIC PROPERTIES; VAPORS;

SIMULATED ANNEALING;

EID: 70450222106     PISSN: 03783812     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.fluid.2009.09.021     Document Type: Article

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