Attribute Grammar Evolution

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{DBLP:conf/iwinac/CruzPA05,

• author = "Marina {de la Cruz Echeandia} and Alfonso {Ortega de la Puente} and Manuel Alfonseca",
• title = "Attribute Grammar Evolution",
• 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",
• year = "2005",
• editor = "Jos{\'e} Mira and Jos{\'e} R. {\'A}lvarez",
• series = "Lecture Notes in Computer Science",
• volume = "3562",
• pages = "182--191",
• address = "Las Palmas, Canary Islands, Spain",
• month = jun # " 15-18",
• publisher = "Springer",
• bibsource = "DBLP, http://dblp.uni-trier.de",
• keywords = "genetic algorithms, genetic programming",
• ISBN = "3-540-26319-5",
• DOI = "doi:10.1007/11499305_19",
• size = "10 pages",
• 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.",
• notes = "cited by \cite{Ortega:2007:ieeeTEC}",

}

Genetic Programming entries for Marina de la Cruz Echeandia Alfonso Ortega de la Puente Manuel Alfonseca

Citations