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Proceedings Paper

Genetic and evolutionary systems
Author(s): Robert E. Smith
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Paper Abstract

Genetic algorithms (GAs) are a class of programs that emulate the search processes of natural genetic evolution. This article reviews GA technology. The review begins by recasting search as a process of sampling points from an unknown space. With this “black-box” view of search, the simple mechanics of the GA are shown to have powerful effects. A review of basic GA mechanics and theory is followed by an overview of more advanced GA techniques. Final comments address future directions for GAs and for general evolving systems research.

Paper Details

Date Published: 1 March 1994
PDF: 25 pages
Proc. SPIE 10277, Adaptive Computing: Mathematics, Electronics, and Optics: A Critical Review, 102770A (1 March 1994); doi: 10.1117/12.171199
Show Author Affiliations
Robert E. Smith, Univ. of Alabama (United States)


Published in SPIE Proceedings Vol. 10277:
Adaptive Computing: Mathematics, Electronics, and Optics: A Critical Review
Su-Shing Chen; H. John Caulfield, Editor(s)

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