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Genetic Programming

Genetic Programming

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Author(s): P. Collet (Université du Littoral Côte d’Opale, France)
Copyright: 2007
Pages: 15
Source title: Handbook of Research on Nature-Inspired Computing for Economics and Management
Source Author(s)/Editor(s): Jean-Philippe Rennard (Grenoble Graduate School of Business, France)
DOI: 10.4018/978-1-59140-984-7.ch005

Keywords: Biologically-Inspired Computing / Business Science Reference / Industrial Informatics / Medicine & Healthcare

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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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