Parameter estimation for simulation of glycolysis pathway by using an improved differential evolution

Chuii Khim Chong, Mohd Saberi Mohamad, Safaai Deris, Yee Wen Choon, Lian En Chai

Research output: Chapter in Book/Report/Conference proceedingConference contribution


An improved differential evolution (DE) algorithm is proposed in this paper to optimize its performance in estimating the germane parameters for metabolic pathway data to simulate glycolysis pathway for Saccharomyces cerevisiae. This study presents an improved algorithm of parameter sensitivity test into the process of DE algorithm. The result of the improved algorithm is testifying to be supreme to the others estimation algorithms. The outcomes from this study promote estimating optimal kinetic parameters, shorter computation time and ameliorating the precision of simulated kinetic model for the experimental data.

Original languageEnglish
Title of host publicationKnowledge Technology - Third Knowledge Technology Week, KTW 2011, Revised Selected Papers
Number of pages4
Publication statusPublished - 2012
Externally publishedYes
Event3rd Knowledge Technology Week, KTW 2011 - Kajang, Malaysia
Duration: Jul 18 2011Jul 22 2011

Publication series

NameCommunications in Computer and Information Science
Volume295 CCIS
ISSN (Print)1865-0929


Conference3rd Knowledge Technology Week, KTW 2011


  • Differential Evolution
  • Evolutionary Algorithm
  • Metabolic Engineering
  • Optimization
  • Parameter Estimation

ASJC Scopus subject areas

  • General Computer Science
  • General Mathematics


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