Estimation parameters of hydrocracking model with NSGA-ii (Non-dominated Sorting Genetic Algorithm) by using discrete kinetic lumping model

• Published in: Fuel (Guildford) Vol. 200; pp. 333 - 344
• Main Authors: Li, Guoqing, Cai, Chuxuan
• Format: Journal Article
• Language: English
• Published: Kidlington Elsevier Ltd 15.07.2017; Elsevier BV
• Subjects: Catalytic cracking; Classifying; Genetic algorithms; Hydrocracking; Kinetics; Lump; Lumping; Mathematical models; Nsga-ii (Non-dominated Sorting Genetic Algorithm); Parameter estimation; Perturbation methods; Process parameters; Sorting algorithms; Stangeland model; Lump; Parameter estimation; Stangeland model; Nsga-ii (Non-dominated Sorting Genetic Algorithm)

[Display omitted] •NSGA-ii is proposed to free model parameter estimation from providing weight factors.•Scopes of parameters are narrowed and one of them is found to be calculated directly.•Effects of parameters perturbations are shown by graphs for final selection. Process of parameter estimation...