Genetic Programming solution of the convection-diffusion equation

Created by W.Langdon from gp-bibliography.bib Revision:1.3949

@InProceedings{howard:2001:gecco,
  title =        "Genetic Programming solution of the
                 convection-diffusion equation",
  author =       "Daniel Howard and Simon C. Roberts",
  pages =        "34--41",
  year =         "2001",
  publisher =    "Morgan Kaufmann",
  booktitle =    "Proceedings of the Genetic and Evolutionary
                 Computation Conference (GECCO-2001)",
  editor =       "Lee Spector and Erik D. Goodman and Annie Wu and 
                 W. B. Langdon and Hans-Michael Voigt and Mitsuo Gen and 
                 Sandip Sen and Marco Dorigo and Shahram Pezeshk and 
                 Max H. Garzon and Edmund Burke",
  address =      "San Francisco, California, USA",
  publisher_address = "San Francisco, CA 94104, USA",
  month =        "7-11 " # jul,
  keywords =     "genetic algorithms, genetic programming,
                 convection-diffusion, differential equations, WRM, FEM,
                 numerical method",
  ISBN =         "1-55860-774-9",
  URL =          "http://www.cs.bham.ac.uk/~wbl/biblio/gecco2001/d01.pdf",
  notes =        "GECCO-2001 A joint meeting of the tenth International
                 Conference on Genetic Algorithms (ICGA-2001) and the
                 sixth Annual Genetic Programming Conference (GP-2001)
                 Part of \cite{spector:2001:GECCO}

                 linear one dimensional second order partial
                 differential equation, comparison of GP with known
                 analytic solution. Evolve single polynomial
                 approximation. Fitness based on analytical integration
                 of differentials of polynomial. Polynomial is phenotype
                 created by GP ADD, BACK WRITE functions on variable
                 length vector of polynomial co-efficients. read and
                 write memory (two cells).

                 Peclet numbers. p37 GP with ADFs {"}did not
                 significantly improve performance{"}. Weighted residues
                 method, WRM. p39 {"}This method cannot be
                 recommended{"}",
}

Genetic Programming entries for Daniel Howard Simon C Roberts

Citations