Genetic Programming - New Approaches and Successful Applications

Created by W.Langdon from gp-bibliography.bib Revision:1.3949

@Book{Ventura:2012:GPnew,
  editor =       "Sebastian Ventura",
  title =        "Genetic Programming - New Approaches and Successful
                 Applications",
  publisher =    "InTech",
  year =         "2012",
  keywords =     "genetic algorithms, genetic programming",
  isbn13 =       "978-953-51-0809-2",
  URL =          "http://www.intechopen.com/books/genetic-programming-new-approaches-and-successful-applications",
  DOI =          "doi:10.5772/3102",
  size =         "284 pages",
  abstract =     "Genetic programming (GP) is a branch of Evolutionary
                 Computing that aims the automatic discovery of programs
                 to solve a given problem. Since its appearance, in the
                 earliest nineties, GP has become one of the most
                 promising paradigms for solving problems in the
                 artificial intelligence field, producing a number of
                 human-competitive results and even patentable new
                 inventions. And, as other areas in Computer Science, GP
                 continues evolving quickly, with new ideas, techniques
                 and applications being constantly proposed. The purpose
                 of this book is to show recent advances in the field of
                 GP, both the development of new theoretical approaches
                 and the emergence of applications that have
                 successfully solved different real world problems. The
                 volume is primarily aimed at postgraduates, researchers
                 and academics, although it is hoped that it may be
                 useful to undergraduates who wish to learn about the
                 leading techniques in GP.",
  notes =        "Open access book CC BY 3.0 license",
}

Genetic Programming entries for Sebastian Ventura

Citations