Share Email Print

Proceedings Paper

Genetic and evolutionary systems
Author(s): Robert E. Smith
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

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)

© SPIE. Terms of Use
Back to Top