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Proceedings Paper

Kalman extension of the genetic algorithm
Author(s): Phillip D. Stroud
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Paper Abstract

In typical GA application, the fitness assigned to a chromosome-represented individual in the context of a specified environment takes a deterministic calculable value. In many problems of interest, the fitness of an individual is stochastic, and the environment changes in unpredictable ways. These two factors contribute to an uncertainty that can be associated with the estimated fitness of the individual.

Paper Details

Date Published: 30 March 2000
PDF: 12 pages
Proc. SPIE 4055, Applications and Science of Computational Intelligence III, (30 March 2000); doi: 10.1117/12.380570
Show Author Affiliations
Phillip D. Stroud, Los Alamos National Lab. (United States)

Published in SPIE Proceedings Vol. 4055:
Applications and Science of Computational Intelligence III
Kevin L. Priddy; Paul E. Keller; David B. Fogel, Editor(s)

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