Dynamical modelling of a genetic algorithm

This work addresses the signal propagation and the fractional-order dynamics during the evolution of a genetic algorithm (GA). In order to investigate the phenomena involved in the GA population evolution, the mutation is exposed to excitation perturbations during some generations and the correspond...

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Bibliographic Details
Published in:Signal processing 2006-10, Vol.86 (10), p.2760-2770
Main Authors: Solteiro Pires, E.J., Tenreiro Machado, J.A., de Moura Oliveira, P.B.
Format: Article
Language:English
Subjects:
Dynamic
Fractional-order
Genetic algorithm
Signal processing
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Summary:This work addresses the signal propagation and the fractional-order dynamics during the evolution of a genetic algorithm (GA). In order to investigate the phenomena involved in the GA population evolution, the mutation is exposed to excitation perturbations during some generations and the corresponding fitness variations are evaluated. Three distinct fitness functions are used to study their influence in the GA dynamics. The input and output signals are studied revealing a fractional-order dynamic evolution, characteristic of a long-term system memory.
ISSN:0165-1684
1872-7557
DOI:10.1016/j.sigpro.2006.02.019