EvoDAG: A semantic Genetic Programming Python library

Created by W.Langdon from gp-bibliography.bib Revision:1.4524

  author =       "Mario Graff and Eric S. Tellez and 
                 Sabino Miranda-Jimenez and Hugo Jair Escalante",
  title =        "{EvoDAG}: A semantic {Genetic} {Programming} {Python}
  booktitle =    "2016 IEEE International Autumn Meeting on Power,
                 Electronics and Computing (ROPEC)",
  year =         "2016",
  editor =       "Jaime Cerda Jacobo",
  address =      "Ixtapa, Vicente Guerrero, Mexico",
  month =        "9-11 " # nov,
  publisher =    "IEEE",
  keywords =     "genetic algorithms, genetic programming, semantic
                 genetic programming, auto-sklearn, SVM",
  isbn13 =       "978-1-5090-3794-0",
  URL =          "http://ieeexplore.ieee.org/document/7830633/",
  DOI =          "doi:10.1109/ROPEC.2016.7830633",
  size =         "6 pages",
  abstract =     "Genetic Programming (GP) is an evolutionary algorithm
                 that has received a lot of attention lately due to its
                 success in solving hard real-world problems. Lately,
                 there has been considerable interest in GP's community
                 to develop semantic genetic operators, i.e., operators
                 that work on the phenotype. In this contribution, we
                 describe EvoDAG (Evolving Directed Acyclic Graph) which
                 is a Python library that implements a steady-state
                 semantic Genetic Programming with tournament selection
                 using an extension of our previous crossover operators
                 based on orthogonal projections in the phenotype space.
                 To show the effectiveness of EvoDAG, it is compared
                 against state-of-the-art classifiers on different
                 benchmark problems, experimental results indicate that
                 EvoDAG is very competitive.",
  notes =        "See \cite{Handley:1994:DAGpcp}

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Genetic Programming entries for Mario Graff Guerrero Eric Sadit Tellez Sabino Miranda-Jimenez Hugo Jair Escalante