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Genetic Programming

In: Search Methodologies

Author

Listed:
  • Riccardo Poli

    (University of Essex)

  • John Koza

    (Stanford University)

Abstract

The goal of getting computers to automatically solve problems is central to artificial intelligence, machine learning, and the broad area encompassed by what Turing called machine intelligence (Turing 1948, 1950).

Suggested Citation

  • Riccardo Poli & John Koza, 2014. "Genetic Programming," Springer Books, in: Edmund K. Burke & Graham Kendall (ed.), Search Methodologies, edition 2, chapter 0, pages 143-185, Springer.
    • Handle: RePEc:spr:sprchp:978-1-4614-6940-7_6
    DOI: 10.1007/978-1-4614-6940-7_6
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    Cited by:

    1. Cuadra, L. & Salcedo-Sanz, S. & Nieto-Borge, J.C. & Alexandre, E. & Rodríguez, G., 2016. "Computational intelligence in wave energy: Comprehensive review and case study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 1223-1246.
    2. Borch, Christian, 2022. "Machine learning, knowledge risk, and principal-agent problems in automated trading," Technology in Society, Elsevier, vol. 68(C).

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