An adaptive genetic algorithm for parameter estimation of biological oscillator models to achieve target quantitative system response

This publication has 27 references indexed in Scilit:

• A distribution‐matching method for parameter estimation and model selection in computational biology
  International Journal of Robust and Nonlinear Control, 2012
• An N-Terminal Protein Degradation Tag Enables Robust Selection of Highly Active Enzymes
  Biochemistry, 2011
• A framework and model system to investigate linear system behavior in Escherichia coli
  Journal of Biological Engineering, 2011
• Parameter Estimation and Model Selection in Computational Biology
  PLOS Computational Biology, 2010
• Estimating the kinetic parameters of activated sludge storage using weighted non-linear least-squares and accelerating genetic algorithm
  Water Research, 2009
• Design of genetic networks with specified functions by evolution in silico
  Proceedings of the National Academy of Sciences, 2004
• Self-adaptive fitness formulation for constrained optimization
  IEEE Transactions on Evolutionary Computation, 2003
• The Practical Handbook of Genetic Algorithms
  2000
• A synthetic oscillatory network of transcriptional regulators
  Nature, 2000
• Cooperativity in protein-folding kinetics.
  Proceedings of the National Academy of Sciences, 1993