Indirectly Encoded Fitness Predictors Coevolved with Cartesian Programs

Created by W.Langdon from gp-bibliography.bib Revision:1.4496

  author =       "Michaela Sikulova and Jiri Hulva and Lukas Sekanina",
  title =        "Indirectly Encoded Fitness Predictors Coevolved with
                 Cartesian Programs",
  booktitle =    "18th European Conference on Genetic Programming",
  year =         "2015",
  editor =       "Penousal Machado and Malcolm I. Heywood and 
                 James McDermott and Mauro Castelli and 
                 Pablo Garcia-Sanchez and Paolo Burelli and Sebastian Risi and Kevin Sim",
  series =       "LNCS",
  volume =       "9025",
  publisher =    "Springer",
  pages =        "113--125",
  address =      "Copenhagen",
  month =        "8-10 " # apr,
  organisation = "EvoStar",
  keywords =     "genetic algorithms, genetic programming, Cartesian
                 genetic programming, Coevolution, Fitness prediction",
  isbn13 =       "978-3-319-16500-4",
  DOI =          "doi:10.1007/978-3-319-16501-1_10",
  abstract =     "We investigate coevolutionary Cartesian genetic
                 programming that coevolves fitness predictors in order
                 to diminish the number of target objective vector (TOV)
                 evaluations, needed to obtain a satisfactory solution,
                 to reduce the computational cost of evolution. This
                 paper introduces the use of coevolution of fitness
                 predictors in CGP with a new type of indirectly encoded
                 predictors. Indirectly encoded predictors are operated
                 using the CGP and provide a variable number of TOVs
                 used for solution evaluation during the coevolution. It
                 is shown in five symbolic regression problems that the
                 proposed predictors are able to adapt the size of TOVs
                 array in response to a particular training data set.",
  notes =        "Part of \cite{Machado:2015:GP} EuroGP'2015 held in
                 conjunction with EvoCOP2015, EvoMusArt2015 and

Genetic Programming entries for Michaela Sikulova Jiri Hulva Lukas Sekanina