Attribute Grammar Evolution
Created by W.Langdon from
gp-bibliography.bib Revision:1.8098
- @InProceedings{DBLP:conf/iwinac/CruzPA05,
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author = "Marina {de la Cruz Echeandia} and
Alfonso {Ortega de la Puente} and Manuel Alfonseca",
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title = "Attribute Grammar Evolution",
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booktitle = "Artificial Intelligence and Knowledge Engineering
Applications: A Bioinspired Approach: First
International Work-Conference on the Interplay Between
Natural and Artificial Computation, IWINAC 2005, Part
II",
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year = "2005",
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editor = "Jos{\'e} Mira and Jos{\'e} R. {\'A}lvarez",
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series = "Lecture Notes in Computer Science",
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volume = "3562",
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pages = "182--191",
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address = "Las Palmas, Canary Islands, Spain",
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month = jun # " 15-18",
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publisher = "Springer",
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bibsource = "DBLP, http://dblp.uni-trier.de",
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keywords = "genetic algorithms, genetic programming",
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ISBN = "3-540-26319-5",
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DOI = "doi:10.1007/11499305_19",
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size = "10 pages",
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abstract = "This paper describes Attribute Grammar Evolution
(AGE), a new Automatic Evolutionary Programming
algorithm that extends standard Grammar Evolution (GE)
by replacing context-free grammars by attribute
grammars. GE only takes into account syntactic
restrictions to generate valid individuals. AGE adds
semantics to ensure that both semantically and
syntactically valid individuals are generated.
Attribute grammars make it possible to semantically
describe the solution. The paper shows empirically that
AGE is as good as GE for a classical problem, and
proves that including semantics in the grammar can
improve GE performance. An important conclusion is that
adding too much semantics can make the search
difficult.",
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notes = "cited by \cite{Ortega:2007:ieeeTEC}",
- }
Genetic Programming entries for
Marina de la Cruz Echeandia
Alfonso Ortega de la Puente
Manuel Alfonseca
Citations