ESDL: a simple description language for population-based evolutionary computation

Created by W.Langdon from gp-bibliography.bib Revision:1.4420

  author =       "Steve Dower and Clinton J. Woodward",
  title =        "ESDL: a simple description language for
                 population-based evolutionary computation",
  booktitle =    "GECCO '11: Proceedings of the 13th annual conference
                 on Genetic and evolutionary computation",
  year =         "2011",
  editor =       "Natalio Krasnogor and Pier Luca Lanzi and 
                 Andries Engelbrecht and David Pelta and Carlos Gershenson and 
                 Giovanni Squillero and Alex Freitas and 
                 Marylyn Ritchie and Mike Preuss and Christian Gagne and 
                 Yew Soon Ong and Guenther Raidl and Marcus Gallager and 
                 Jose Lozano and Carlos Coello-Coello and Dario Landa Silva and 
                 Nikolaus Hansen and Silja Meyer-Nieberg and 
                 Jim Smith and Gus Eiben and Ester Bernado-Mansilla and 
                 Will Browne and Lee Spector and Tina Yu and Jeff Clune and 
                 Greg Hornby and Man-Leung Wong and Pierre Collet and 
                 Steve Gustafson and Jean-Paul Watson and 
                 Moshe Sipper and Simon Poulding and Gabriela Ochoa and 
                 Marc Schoenauer and Carsten Witt and Anne Auger",
  isbn13 =       "978-1-4503-0557-0",
  pages =        "1045--1052",
  keywords =     "genetic algorithms, genetic programming",
  month =        "12-16 " # jul,
  organisation = "SIGEVO",
  address =      "Dublin, Ireland",
  DOI =          "doi:10.1145/2001576.2001718",
  publisher =    "ACM",
  publisher_address = "New York, NY, USA",
  abstract =     "A large proportion of publications in the field of
                 evolutionary computation describe algorithm
                 specialisation and experimentation. Algorithms are
                 variously described using text, tables, flowcharts,
                 functions or pseudocode. However, ambiguity that can
                 limit the efficiency of communication is common.
                 Evolutionary System Definition Language (ESDL) is a
                 conceptual model and language for describing
                 evolutionary systems efficiently and with reduced
                 ambiguity, including systems with multiple populations
                 and adaptive parameters. ESDL may also be
                 machine-interpreted, allowing algorithms to be tested
                 without requiring a hand-coded implementation, as may
                 already be done using the esec framework. The style is
                 distinct from existing notations used within the field
                 and is easily recognisable. This paper describes the
                 case for ESDL, provides an overview of ESDL and
                 examples of its use.",
  notes =        "Also known as \cite{2001718} GECCO-2011 A joint
                 meeting of the twentieth international conference on
                 genetic algorithms (ICGA-2011) and the sixteenth annual
                 genetic programming conference (GP-2011)",

Genetic Programming entries for Steve Dower Clinton Woodward