Evolving search spaces to emphasize the performance difference of real-coded crossovers using genetic programming

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

@InProceedings{Shirakawa:2010:cec,
  author =       "Shinichi Shirakawa and Noriko Yata and 
                 Tomoharu Nagao",
  title =        "Evolving search spaces to emphasize the performance
                 difference of real-coded crossovers using genetic
                 programming",
  booktitle =    "IEEE Congress on Evolutionary Computation (CEC 2010)",
  year =         "2010",
  address =      "Barcelona, Spain",
  month =        "18-23 " # jul,
  publisher =    "IEEE Press",
  keywords =     "genetic algorithms, genetic programming, cartesian
                 genetic programming",
  isbn13 =       "978-1-4244-6910-9",
  abstract =     "When we evaluate the search performance of an
                 evolutionary computation (EC) technique, we usually
                 apply it to typical benchmark functions and evaluate
                 its performance in comparison to other techniques. In
                 experiments on limited benchmark functions, it can be
                 difficult to understand the features of each technique.
                 In this paper, the search spaces that emphasise the
                 performance difference of EC techniques are evolved by
                 Cartesian genetic programming. We focus on a real-coded
                 genetic algorithm, which is a type of genetic algorithm
                 that has a real-valued vector as a chromosome. In
                 particular, we generate search spaces using the
                 performance difference of real-coded crossovers. In the
                 experiments, we evolve the search spaces using the
                 combination of three types of real-coded crossovers. As
                 a result of our experiments, the search spaces that
                 exhibit the largest performance difference of two
                 crossovers are generated for all the combinations.",
  DOI =          "doi:10.1109/CEC.2010.5586065",
  notes =        "WCCI 2010. Also known as \cite{5586065}",
}

Genetic Programming entries for Shinichi Shirakawa Noriko Yata Tomoharu Nagao

Citations