Genetic Programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
- @InCollection{Brabazon:book:NCA.7,
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author = "Anthony Brabazon and Michael O'Neill and
Sean McGarraghy",
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title = "Genetic Programming",
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booktitle = "Natural Computing Algorithms",
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publisher = "Springer",
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year = "2015",
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series = "Natural Computing Series",
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chapter = "7",
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pages = "95--114",
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keywords = "genetic algorithms, genetic programming",
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isbn13 = "978-3-662-43630-1",
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DOI = "doi:10.1007/978-3-662-43631-8_7",
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abstract = "Genetic programming (GP) was initially developed to
allow the automatic creation of a computer program from
a high-level statement of a problem's requirements, by
means of an evolutionary process. In GP, a computer
program to solve a defined task is evolved from an
initial population of random computer programs. An
iterative evolutionary process is employed by GP, where
better (fitter) programs for the task at hand are
allowed to reproduce using recombination processes to
recombine components of existing programs. The
reproduction process is supplemented by incremental
trial-and-error development, and both
variety-generating mechanisms act to generate variants
of existing good programs. Over time, the utility of
the programs in the population improves as poorer
solutions to the problem are replaced by better
solutions. More generally, GP has been applied to
evolve a wide range of structures (and their associated
parameters) including electronic circuits, mathematical
models, engineering designs, etc.",
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notes = "Part of \cite{Brabazon:book:NCA}",
- }
Genetic Programming entries for
Anthony Brabazon
Michael O'Neill
Sean McGarraghy
Citations