Towards the development of self-ant systems
Created by W.Langdon from
gp-bibliography.bib Revision:1.7954
- @InProceedings{Tavares:2011:GECCO,
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author = "Jorge Tavares and Francisco B. Pereira",
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title = "Towards the development of self-ant systems",
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booktitle = "GECCO '11: Proceedings of the 13th annual conference
on Genetic and evolutionary computation",
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year = "2011",
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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",
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isbn13 = "978-1-4503-0557-0",
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pages = "1947--1954",
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keywords = "genetic algorithms, genetic programming, Self-*
search",
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month = "12-16 " # jul,
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organisation = "SIGEVO",
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address = "Dublin, Ireland",
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DOI = "doi:10.1145/2001576.2001838",
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publisher = "ACM",
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publisher_address = "New York, NY, USA",
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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.",
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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
Citations