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30 March 2000 Kalman extension of the genetic algorithm
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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.
© (2000) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Phillip D. Stroud "Kalman extension of the genetic algorithm", Proc. SPIE 4055, Applications and Science of Computational Intelligence III, (30 March 2000); https://doi.org/10.1117/12.380570
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