• DocumentCode
    2345753
  • Title

    An Iterative Strategy for Bi-objective Optimization of Metabolic Pathways

  • Author

    Xu, Gongxian

  • Author_Institution
    Dept. of Math., Bohai Univ., Jinzhou, China
  • fYear
    2011
  • fDate
    15-19 April 2011
  • Firstpage
    587
  • Lastpage
    588
  • Abstract
    This paper proposes an iterative strategy to address the bi-objective optimization of metabolic pathways. The metabolic system is firstly represented by the S-system formalism. Then a weighted-sum method is used iteratively to maximize the performance of a metabolic pathway while minimizing its cost. The presented iterative strategy is applied to the fermentation pathway in Saccharomyces cerevisiae and shown to the effectiveness of the approach.
  • Keywords
    cost reduction; fermentation; iterative methods; microorganisms; optimisation; S-system formalism; Saccharomyces cerevisiae; biobjective optimization; cost minimisation; fermentation pathway; iterative strategy; metabolic pathways; metabolic system; weighted-sum method; Ethanol; Iterative methods; Kinetic theory; Optimization; Production; Steady-state; Vectors; bi-objective optimization; metabolic pathways; weighted-sum method;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Sciences and Optimization (CSO), 2011 Fourth International Joint Conference on
  • Conference_Location
    Yunnan
  • Print_ISBN
    978-1-4244-9712-6
  • Electronic_ISBN
    978-0-7695-4335-2
  • Type

    conf

  • DOI
    10.1109/CSO.2011.83
  • Filename
    5957731