Take it EASEA

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

@InProceedings{ColletPPSN2000,
  author =       "Pierre Collet and Evelyne Lutton and 
                 Marc Schoenauer and Jean Louchet",
  title =        "Take it {EASEA}",
  booktitle =    "Parallel Problem Solving from Nature - PPSN VI 6th
                 International Conference",
  editor =       "Marc Schoenauer and Kalyanmoy Deb and 
                 G{\"u}nter Rudolph and Evelyne Lutton Xin Yao and 
                 Juan Julian Merelo and Hans-Paul Schwefel",
  year =         "2000",
  publisher =    "Springer-Verlag",
  address =      "Paris, France",
  month =        sep # " 16-20",
  volume =       "1917",
  series =       "LNCS",
  pages =        "891--901",
  keywords =     "genetic algorithms, genetic programming",
  URL =          "http://minimum.inria.fr/evo-lab/Publications/PPSNVI.ps.gz",
  abstract =     "Evolutionary algorithms are not straightforward to
                 implement and the lack of any specialised language
                 forces users to reinvent the wheel every time they want
                 to write a new program. Over the last years,
                 evolutionary libraries have appeared, trying to reduce
                 the amount of work involved in writing such algorithms
                 from scratch, by offering standard engines, strategies
                 and tools. Unfortunately, most of these libraries are
                 quite complex to use, and imply a deep knowledge of
                 object programming and C++. To further reduce the
                 amount of work needed to implement a new algorithm,
                 without however throwing down the drain all the
                 man-years already spent in the development of such
                 libraries, we have designed EASEA (acronym for EAsy
                 Specification of Evolutionary Algorithms): a new
                 high-level language dedicated to the specification of
                 evolutionary algorithms. EASEA compiles .ez files into
                 C++ object files, containing function calls to a chosen
                 existing library. The resulting C++ file is in turn
                 compiled and linked with the library to produce an
                 executable file implementing the evolutionary algorithm
                 specified in the original .ez file.",
  notes =        "online
                 (http://minimum.inria.fr/evo-lab/Publications/PPSNVI.ps.gz)
                 not identical format to published",
}

Genetic Programming entries for Pierre Collet Evelyne Lutton Marc Schoenauer Jean Louchet

Citations