Towards the development of self-ant systems

Created by W.Langdon from gp-bibliography.bib Revision:1.4221

  author =       "Jorge Tavares and Francisco B. Pereira",
  title =        "Towards the development of self-ant systems",
  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 =        "1947--1954",
  keywords =     "genetic algorithms, genetic programming, Self-*
  month =        "12-16 " # jul,
  organisation = "SIGEVO",
  address =      "Dublin, Ireland",
  DOI =          "doi:10.1145/2001576.2001838",
  publisher =    "ACM",
  publisher_address = "New York, NY, USA",
  abstract =     "We propose a computational framework for the
                 self-generation of components used by an Ant Colony
                 Optimization algorithm. The approach relies on Strongly
                 Typed Genetic Programming to automatically seek for
                 effective update pheromone strategies. Best evolved
                 strategies are then inserted in an Ant Colony Algorithm
                 used to find good quality solutions for the Quadratic
                 Assignment Problem. Results reveal that evolved update
                 rules are competitive with human designed variants and
                 can be effectively reused on different instances of the
                 same problem. Moreover, we investigate the possibility
                 of evolving general strategies that can be used across
                 different optimization problems.",
  notes =        "Also known as \cite{2001838} 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 Jorge Tavares Francisco Jose Baptista Pereira