Artificial Intelligence: Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.7656

@InCollection{Banzhaf2001789,

• author = "W. Banzhaf",
• title = "Artificial Intelligence: Genetic Programming",
• editor = "Neil J. Smelser and Paul B. Baltes",
• booktitle = "International Encyclopedia of the Social \& Behavioral Sciences",
• publisher = "Pergamon",
• address = "Oxford",
• year = "2001",
• pages = "789--792",
• keywords = "genetic algorithms, genetic programming",
• isbn13 = "978-0-08-043076-8",
• DOI = "doi:10.1016/B0-08-043076-7/00557-X",
• URL = "http://www.sciencedirect.com/science/article/B7MRM-4MT09VJ-403/2/fa4e06852750b95eb2734f9ca37ae6ad",
• 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

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