A C++ framework for geometric semantic genetic programming

Created by W.Langdon from gp-bibliography.bib Revision:1.3963

@Article{Castelli:2014:GPEM,
  author =       "Mauro Castelli and Sara Silva and Leonardo Vanneschi",
  title =        "A {C++} framework for geometric semantic genetic
                 programming",
  journal =      "Genetic Programming and Evolvable Machines",
  year =         "2015",
  volume =       "16",
  number =       "1",
  pages =        "73--81",
  month =        mar,
  keywords =     "genetic algorithms, genetic programming, GSGP lib,
                 Semantics, Geometric operators, C++",
  ISSN =         "1389-2576",
  DOI =          "doi:10.1007/s10710-014-9218-0",
  size =         "9 pages",
  abstract =     "Geometric semantic operators are new and promising
                 genetic operators for genetic programming. They have
                 the property of inducing a unimodal error surface for
                 any supervised learning problem, i.e., any problem
                 consisting in finding the match between a set of input
                 data and known target values (like regression and
                 classification). Thanks to an efficient implementation
                 of these operators, it was possible to apply them to a
                 set of real-life problems, obtaining very encouraging
                 results. We have now made this implementation publicly
                 available as open source software, and here we describe
                 how to use it. We also reveal details of the
                 implementation and perform an investigation of its
                 efficiency in terms of running time and memory
                 occupation, both theoretically and experimentally. The
                 source code and documentation are available for
                 download at http://gsgp.sourceforge.net",
  notes =        "GSGP lib

                 Author Affiliations: 1. ISEGI, Universidade Nova de
                 Lisboa, 1070-312, Lisbon, Portugal 2. INESC-ID, IST,
                 Universidade de Lisboa, 1000-029, Lisbon, Portugal 3.
                 LabMAg, FCUL, Universidade de Lisboa, 1749-016, Lisbon,
                 Portugal 4. CISUC, Universidade de Coimbra, 3030-290,
                 Coimbra, Portugal",
}

Genetic Programming entries for Mauro Castelli Sara Silva Leonardo Vanneschi

Citations