Title: An improved Cellular Automata model of enzyme kinetics based on Genetic Algorithm
Authors: Kar, Saurajyoti
Nag, Kaustuv
Dutta, Abhishek
Constales, Denis
Pal, Tandra # ×
Issue Date: 2014
Publisher: Elsevier
Series Title: Chemical Engineering Science vol:110 pages:105-118
Abstract: Based on a generalized Cellular Automata (CA) model which has the flexibility of reaction interactions between all possible two-agent combinations on both reactant and product side, in previous studies by the authors, probabilistic reaction events were combined in a multiplicative order and an exploratory study of the variability analysis was performed. However it was found that the probabilistic parameter values are extremely sensitive to the final model output. As such, NSGA-II based a Multi-objective Genetic Algorithm (MOGA) is used in this study to obtain optimum sets of these probability parameter values within a feasible computational time. For each generation of the MOGA, the probability rules parameter values are updated (improved) based on objective functions. Finally, a validation study is performed to indicate the applicability of the CA model to represent specific enzymatic reactions when coupled with multi-objective optimization algorithm.
ISSN: 0009-2509
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Materials Technology TC, Campus Group T Leuven
Technologiecluster Materialentechnologie
× corresponding author
# (joint) last author

Files in This Item:

There are no files associated with this item.

Request a copy


All items in Lirias are protected by copyright, with all rights reserved.

© Web of science