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Genetic Programming

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Encyclopedia of Machine Learning and Data Mining

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Abstract

Genetic programming (GP) is an evolutionary algorithm-based methodology inspired by biological evolution, used to solve complex problems.

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Authors and Affiliations

  1. Ben-Gurion University, Beer-Sheva, Israel

    Moshe Sipper

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  1. Moshe Sipper
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Correspondence to Moshe Sipper .

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Editors and Affiliations

  1. Engineering (CSE), University of New South Wales School of Computer Science &, Sydney, New South Wales, Australia

    Claude Sammut

  2. Software Engineering, Monash University School of Computer Science &, Melbourne, Victoria, Australia

    Geoffrey I. Webb

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© 2014 Springer Science+Business Media New York

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Sipper, M. (2014). Genetic Programming. In: Sammut, C., Webb, G. (eds) Encyclopedia of Machine Learning and Data Mining. Springer, Boston, MA. https://doi.org/10.1007/978-1-4899-7502-7_376-1

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  • DOI: https://doi.org/10.1007/978-1-4899-7502-7_376-1

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  • Publisher Name: Springer, Boston, MA

  • Online ISBN: 978-1-4899-7502-7

  • eBook Packages: Springer Reference Computer SciencesReference Module Computer Science and Engineering

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