Dynamical modelling of a genetic algorithm
نویسندگان
چکیده
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. r 2006 Elsevier B.V. All rights reserved.
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ورودعنوان ژورنال:
- Signal Processing
دوره 86 شماره
صفحات -
تاریخ انتشار 2006