Linear imperative programming with Differential Evolution

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@InProceedings{Fonlupt:2011:SDE,
  author =       "Cyril Fonlupt and Denis Robilliard and 
                 Virginie Marion-Poty",
  title =        "Linear imperative programming with Differential
                 Evolution",
  booktitle =    "IEEE Symposium on Differential Evolution (SDE 2011)",
  year =         "2011",
  month =        "11-15 " # apr,
  size =         "8 pages",
  abstract =     "Differential Evolution (DE) is an evolutionary
                 approach for optimising non-linear continuous space
                 functions. This method is known to be robust and easy
                 to use. DE manipulates vectors of floats that are
                 improved over generations by mating with best and
                 random individuals. Recently, DE was successfully
                 applied to the automatic generation of programs by
                 mapping real-valued vectors to full programs trees -
                 Tree Based Differential Evolution (TreeDE). In this
                 paper, we propose to use DE as a method to directly
                 generate linear sequences of imperative instructions,
                 which we call Linear Differential Evolutionary
                 Programming (LDEP). Unlike TreeDE, LDEP incorporates
                 constant management for regression problems and lessens
                 the constraints on the architecture of solutions since
                 the user is no more required to determine the tree
                 depth of solutions. Comparisons with standard Genetic
                 Programming and with the CMA-ES algorithm showed that
                 DE-based approach are well suited to automatic
                 programming, being notably more robust than CMA-ES in
                 this particular context.",
  keywords =     "genetic algorithms, genetic programming, automatic
                 programming, covariance matrix adaptation evolution
                 strategy, linear differential evolutionary programming,
                 linear imperative programming, nonlinear continuous
                 space function, regression problem, automatic
                 programming, evolutionary computation, linear
                 programming, regression analysis",
  DOI =          "doi:10.1109/SDE.2011.5952066",
  notes =        "Also known as \cite{5952066}",
}

Genetic Programming entries for Cyril Fonlupt Denis Robilliard Virginie Marion-Poty

Citations