Genetic algorithms A business perspective

Genetic algorithms A business perspective Describes one of the newest forms of artificial intelligence being applied to the solution of business problems – the genetic algorithm (GA). GAs are useful when a problem has multiple solutions, some of which are better than others. Unlike deterministic, linear and non‐linear optimization models, GAs test a variety of solutions and, through an evolving process, attempt to find the best solution through processes that parallel the metaphors of survival of the fittest, genetic crossover, mutation and natural selection. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Information Management & Computer Security Emerald Publishing

Genetic algorithms A business perspective

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Publisher
Emerald Publishing
Copyright
Copyright © 2004 Emerald Group Publishing Limited. All rights reserved.
ISSN
0968-5227
DOI
10.1108/09685220410542624
Publisher site
See Article on Publisher Site

Abstract

Describes one of the newest forms of artificial intelligence being applied to the solution of business problems – the genetic algorithm (GA). GAs are useful when a problem has multiple solutions, some of which are better than others. Unlike deterministic, linear and non‐linear optimization models, GAs test a variety of solutions and, through an evolving process, attempt to find the best solution through processes that parallel the metaphors of survival of the fittest, genetic crossover, mutation and natural selection.

Journal

Information Management & Computer SecurityEmerald Publishing

Published: Jul 1, 2004

Keywords: Algorithmic languages; Artificial intelligence; Business analysis

References

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