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Genetic Programming

P. Collet

Source Title: Handbook of Research on Nature-Inspired Computing for Economics and Management

ISBN13: 9781591409847|ISBN10: 1591409845|EISBN13: 9781591409854

DOI: 10.4018/978-1-59140-984-7.ch005

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MLA

Collet, P. "Genetic Programming." Handbook of Research on Nature-Inspired Computing for Economics and Management, edited by Jean-Philippe Rennard, IGI Global, 2007, pp. 59-73. https://doi.org/10.4018/978-1-59140-984-7.ch005

APA

Collet, P. (2007). Genetic Programming. In J. Rennard (Ed.), Handbook of Research on Nature-Inspired Computing for Economics and Management (pp. 59-73). IGI Global. https://doi.org/10.4018/978-1-59140-984-7.ch005

Chicago

Collet, P. "Genetic Programming." In Handbook of Research on Nature-Inspired Computing for Economics and Management, edited by Jean-Philippe Rennard, 59-73. Hershey, PA: IGI Global, 2007. https://doi.org/10.4018/978-1-59140-984-7.ch005

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Abstract

The aim of genetic programming is to evolve programs or functions (symbolic regression) thanks to artificial evolution. This technique is now mature and can routinely yield results on par with (or even better than) human intelligence. This chapter sums up the basics of genetic programming and outlines the main subtleties one should be aware of in order to obtain good results.

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Genetic Programming

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