Artificial Intelligence: Genetic Programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.7964
- @InCollection{Banzhaf2001789,
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author = "W. Banzhaf",
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title = "Artificial Intelligence: Genetic Programming",
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editor = "Neil J. Smelser and Paul B. Baltes",
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booktitle = "International Encyclopedia of the Social \& Behavioral
Sciences",
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publisher = "Pergamon",
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address = "Oxford",
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year = "2001",
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pages = "789--792",
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keywords = "genetic algorithms, genetic programming",
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isbn13 = "978-0-08-043076-8",
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DOI = "doi:10.1016/B0-08-043076-7/00557-X",
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URL = "http://www.sciencedirect.com/science/article/B7MRM-4MT09VJ-403/2/fa4e06852750b95eb2734f9ca37ae6ad",
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abstract = "Genetic Programming is a new method to generate
computer programs. It was derived from the model of
biological evolution. Programs are 'bred' through
continuous improvement of an initially random
population of programs. Improvements are made possible
by stochastic variation of programs and selection
according to prespecified criteria for judging the
quality of a solution. Programs of Genetic Programming
systems evolve to solve predescribed automatic
programming and machine learning problems. In this
contribution the origins and the context of Genetic
Programming are discussed. The primary mechanisms
behind the working of the method are then outlined.
Next is a review of the state-of-the-art of Genetic
Programming, including the major achievements of the
method in recent years. This leads to an overview of
the application areas where GP is most frequently used
to present. Among these areas is robotics and the
control of behavior, both of real and virtual agents.
The article will conclude with a section on
methodological issues and future directions. The use of
Genetic Programming for simulation in the social
sciences is briefly sketched.",
- }
Genetic Programming entries for
Wolfgang Banzhaf
Citations