Probabilistic Model Building and Competent Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.8129

@InCollection{sastry:2003:GPTP13,

• author = "Kumara Sastry and David E. Goldberg",
• title = "Probabilistic Model Building and Competent Genetic Programming",
• booktitle = "Genetic Programming Theory and Practice",
• publisher = "Kluwer",
• year = "2003",
• editor = "Rick L. Riolo and Bill Worzel",
• chapter = "13",
• pages = "205--220",
• keywords = "genetic algorithms, genetic programming, Competent genetic program, Linkage adaptation, Linkage learning, Probabilistic model building, Extended compact genetic algorithm",
• ISBN = "1-4020-7581-2",
• URL = "http://gal31.ge.uiuc.edu/kumara/wp-content/files/2003013.pdf",
• URL = "http://www.springer.com/computer/ai/book/978-1-4020-7581-0",
• DOI = "doi:10.1007/978-1-4419-8983-3_13",
• abstract = "a probabilistic model building genetic programming (PMBGP) developed based on the extended compact genetic algorithm (eCGA). Unlike traditional genetic programming, which use fixed recombination operators, the proposed PMBGA adapts linkages. The proposed algorithms, called the extended compact genetic programming (eCGP) adaptively identifies and exchanges non-overlapping building blocks by constructing and sampling probabilistic models of promising solutions. The results show that eCGP scales-up polynomially with the problem size (the number of functionals and terminals) on both GP-easy problem and boundedly difficult GP-hard problem.",
• notes = "Part of \cite{RioloWorzel:2003}",
• size = "14 pages",

}

Genetic Programming entries for Kumara Sastry David E Goldberg

Citations