Semantic aware methods for evolutionary art
Created by W.Langdon from
gp-bibliography.bib Revision:1.7954
- @InProceedings{Machado:2014:GECCO,
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author = "Penousal Machado and Joao Correia",
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title = "Semantic aware methods for evolutionary art",
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booktitle = "GECCO '14: Proceedings of the 2014 conference on
Genetic and evolutionary computation",
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year = "2014",
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editor = "Christian Igel and Dirk V. Arnold and
Christian Gagne and Elena Popovici and Anne Auger and
Jaume Bacardit and Dimo Brockhoff and Stefano Cagnoni and
Kalyanmoy Deb and Benjamin Doerr and James Foster and
Tobias Glasmachers and Emma Hart and Malcolm I. Heywood and
Hitoshi Iba and Christian Jacob and Thomas Jansen and
Yaochu Jin and Marouane Kessentini and
Joshua D. Knowles and William B. Langdon and Pedro Larranaga and
Sean Luke and Gabriel Luque and John A. W. McCall and
Marco A. {Montes de Oca} and Alison Motsinger-Reif and
Yew Soon Ong and Michael Palmer and
Konstantinos E. Parsopoulos and Guenther Raidl and Sebastian Risi and
Guenther Ruhe and Tom Schaul and Thomas Schmickl and
Bernhard Sendhoff and Kenneth O. Stanley and
Thomas Stuetzle and Dirk Thierens and Julian Togelius and
Carsten Witt and Christine Zarges",
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isbn13 = "978-1-4503-2662-9",
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pages = "301--308",
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keywords = "genetic algorithms, genetic programming",
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month = "12-16 " # jul,
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organisation = "SIGEVO",
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address = "Vancouver, BC, Canada",
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URL = "http://doi.acm.org/10.1145/2576768.2598293",
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DOI = "doi:10.1145/2576768.2598293",
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publisher = "ACM",
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publisher_address = "New York, NY, USA",
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abstract = "In the past few years the use of semantic aware
crossover and mutation has become a hot topic of
research within the Genetic Programming community.
Unlike traditional genetic operators that perform
syntactic manipulations of programs regardless of their
behavior, semantic driven operators promote direct
search on the underlying behavioral space. Based on
previous work on semantic Genetic Programming and
Genetic Morphing, we propose and implement semantic
driven crossover and mutation operators for
evolutionary art. The experimental results focus on
assessing how these operators compare with traditional
ones.",
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notes = "Also known as \cite{2598293} GECCO-2014 A joint
meeting of the twenty third international conference on
genetic algorithms (ICGA-2014) and the nineteenth
annual genetic programming conference (GP-2014)",
- }
Genetic Programming entries for
Penousal Machado
Joao Nuno Goncalves Costa Cavaleiro Correia
Citations