Using an improved differential evolution algorithm for parameter estimation to simulate glycolysis pathway

Chuii Khim Chong, Mohd Saberi Mohamad, Safaai Deris, Shahir Shamsir, Afnizanfaizal Abdullah, Yee Wen Choon, Lian En Chai, Sigeru Omatu

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

2 Citations (Scopus)

Abstract

This paper presents an improved Differential Evolution algorithm (IDE). It is aimed at improving its performance in estimating the relevant parameters for metabolic pathway data to simulate glycolysis pathway for yeast. Metabolic pathway data are expected to be of significant help in the development of efficient tools in kinetic modeling and parameter estimation platforms. Nonetheless, due to the noisy data and difficulty of the system in estimating myriad of parameters, many computation algorithms face obstacles and require longer computational time to estimate the relevant parameters. The IDE proposed in this paper is a hybrid of a Differential Evolution algorithm (DE) and a Kalman Filter (KF). The outcome of IDE is proven to be superior than a Genetic Algorithm (GA) and DE. The results of IDE from this experiment show estimated optimal kinetic parameters values, shorter computation time and better accuracy of simulated results compared to the other estimation algorithms.

Original languageEnglish
Title of host publicationDistributed Computing and Artificial Intelligence - 9th International Conference
Pages709-716
Number of pages8
DOIs
Publication statusPublished - 2012
Externally publishedYes
Event9th International Conference on Distributed Computing and Artificial Intelligence, DCAI 2012 - Salamanca, Spain
Duration: Mar 28 2012Mar 30 2012

Publication series

NameAdvances in Intelligent and Soft Computing
Volume151 AISC
ISSN (Print)1867-5662

Conference

Conference9th International Conference on Distributed Computing and Artificial Intelligence, DCAI 2012
Country/TerritorySpain
CitySalamanca
Period3/28/123/30/12

Keywords

  • Differential Evolution Algorithm
  • Kalman Filter
  • Parameter Estimation
  • Simulation

ASJC Scopus subject areas

  • General Computer Science

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