کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
155035 456880 2014 14 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
An improved cellular automata model of enzyme kinetics based on genetic algorithm
ترجمه فارسی عنوان
یک مدل خودکار اتوماتیک سلولی از سینتیک آنزیم بر اساس الگوریتم ژنتیکی
موضوعات مرتبط
مهندسی و علوم پایه مهندسی شیمی مهندسی شیمی (عمومی)
چکیده انگلیسی

highlights
• Cellular automata are used to model enzymatic reaction kinetics on a 2D torus.
• Fine-tuning the probabilities of reactions and movement is challenging.
• A multi-objective genetic algorithm obtains the probabilities in feasible time.
• A validation study indicates the applicability of the cellular automata model.

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 on 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 the objective functions. Finally, a validation study is performed to indicate the applicability of the CA model to represent specific enzymatic reactions when coupled with the multi-objective optimization algorithm.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Chemical Engineering Science - Volume 110, 3 May 2014, Pages 105–118
نویسندگان
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