Inference Of Differential Equation Models By Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@InProceedings{iba:2002:gecco,
  author =       "Hitoshi Iba and Erina Sakamoto",
  title =        "Inference Of Differential Equation Models By Genetic
                 Programming",
  booktitle =    "GECCO 2002: Proceedings of the Genetic and
                 Evolutionary Computation Conference",
  editor =       "W. B. Langdon and E. Cant{\'u}-Paz and K. Mathias and 
                 R. Roy and D. Davis and R. Poli and K. Balakrishnan and 
                 V. Honavar and G. Rudolph and J. Wegener and 
                 L. Bull and M. A. Potter and A. C. Schultz and J. F. Miller and 
                 E. Burke and N. Jonoska",
  year =         "2002",
  pages =        "788--795",
  address =      "New York",
  publisher_address = "San Francisco, CA 94104, USA",
  month =        "9-13 " # jul,
  publisher =    "Morgan Kaufmann Publishers",
  keywords =     "genetic algorithms, genetic programming,
                 bioinformatics, differential equation, E-cell, genome
                 informatics, Lotka-Volterra model, S-systems",
  ISBN =         "1-55860-878-8",
  URL =          "http://www.cs.bham.ac.uk/~wbl/biblio/gecco2002/GP042.ps",
  URL =          "http://www.cs.bham.ac.uk/~wbl/biblio/gecco2002/GP042.pdf",
  URL =          "http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/gecco2002/gecco-2002-14.pdf",
  abstract =     "An evolutionary method for identifying a causal model
                 from the observed time series data. We use a system of
                 ordinary differential equations (ODEs) as the causal
                 model. This approach is well known to be useful for the
                 practical application, e.g., bioinformatics, chemical
                 reaction models, controlling theory etc. To explore the
                 search space more effectively in the course of
                 evolution, the right-hand sides of ODEs are inferred by
                 Genetic Programming (GP) and the least mean square
                 (LMS) method is used along with the ordinary GP. We
                 apply our method to several target tasks and
                 empirically show how successfully GP infers the systems
                 of ODEs.",
  notes =        "GECCO-2002. A joint meeting of the eleventh
                 International Conference on Genetic Algorithms
                 (ICGA-2002) and the seventh Annual Genetic Programming
                 Conference (GP-2002)",
}

Genetic Programming entries for Hitoshi Iba Erina Sakamoto

Citations