11 March 2002 Results on a fractal measure for evolutionary optimization
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Proceedings Volume 4739, Applications and Science of Computational Intelligence V; (2002); doi: 10.1117/12.458701
Event: AeroSense 2002, 2002, Orlando, FL, United States
Abstract
Evolutionary optimizers employ independent Gaussian random variables as a central component for their processing, which often renders them immune to analysis. This paper investigates the applicability of the Hurst dimension, a fractal dimension, as a characterization of processing in an evolutionary optimizer. Results show that this fractal measure does highlight some interesting processing commonalities between standard and self-adaptive evolutionary optimization. A potentially worthwhile modification to evolutionary optimization is suggested based on the results.
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Peter J. Angeline, "Results on a fractal measure for evolutionary optimization", Proc. SPIE 4739, Applications and Science of Computational Intelligence V, (11 March 2002); doi: 10.1117/12.458701; https://doi.org/10.1117/12.458701
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KEYWORDS
Evolutionary optimization

Fractal analysis

Stochastic processes

Optical spheres

Evolutionary algorithms

Signal detection

Interference (communication)

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