Estimation of Monod model parameters by hybrid differential evolution

被引：39
作者：
Chiou, JP
Wang, FS [1 ]
机构：
[1] Natl Chung Cheng Univ, Dept Chem Engn, Chiayi 621, Taiwan
[2] Natl Chung Cheng Univ, Dept Elect Engn, Chiayi 621, Taiwan
来源：
BIOPROCESS AND BIOSYSTEMS ENGINEERING | 2001年 / 24卷 / 02期
关键词：
D O I：
10.1007/s004490100236
中图分类号：
Q81 [生物工程学（生物技术）]; Q93 [微生物学];
学科分类号：
071005 ; 0836 ; 090102 ; 100705 ;
摘要：
A hybrid method based on evolutionary algorithms is developed in this study. Two additional operations, an acceleration operation and a migration operation, are embedded into the original version of differential evolution. These two operations are used for the improvement of the convergence speed without decreasing the diversity among the individuals. The acceleration operation is used to speed up convergence. However, the migration operation is used to increase the diversity among the individuals. The hybrid method is applied to estimate the parameters of the Monod model of a recombinant fermentation process. The model profiles based on +/-50% variations of the initial concentrations of glucose can fit the experimental observations satisfactorily.
引用
收藏
页码：109 / 113
页数：5
相关论文
共 14 条
  • [1] ANDREW C, 1996, IFAC 13 TRIENN WORLD, P181
  • [2] [Anonymous], 1975, Adaptation in neural and artificial systems
  • [3] FOGEL DB, 1994, STAT COMPUT, V4, P113, DOI 10.1007/BF00175356
  • [4] *IMSL INC, 1991, IMSL MATH LIB US MAN
  • [5] Identification and control of systems with friction using accelerated evolutionary programming
    Kim, JH
    Chae, HK
    Jeon, JY
    Lee, SW
    [J]. IEEE CONTROL SYSTEMS MAGAZINE, 1996, 16 (04): : 38 - 47
  • [6] Koza JR, 1992, Genetic programming
  • [7] CONTROL-SYSTEM OPTIMIZATION USING GENETIC ALGORITHMS
    KRISHNAKUMAR, K
    GOLDBERG, DE
    [J]. JOURNAL OF GUIDANCE CONTROL AND DYNAMICS, 1992, 15 (03) : 735 - 740
  • [8] Application of genetic algorithms to parameter estimation of bioprocesses
    Park, LJ
    Park, CH
    Park, C
    Lee, T
    [J]. MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING, 1997, 35 (01) : 47 - 49
  • [9] SCHWEFEL H, 1994, EVOLUTION OPTIMUM SE
  • [10] GENETIC ALGORITHM APPROACH FOR OPTIMAL-CONTROL PROBLEMS WITH LINEARLY APPEARING CONTROLS
    SEYWALD, H
    KUMAR, RR
    DESHPANDE, SM
    [J]. JOURNAL OF GUIDANCE CONTROL AND DYNAMICS, 1995, 18 (01) : 177 - 182
12