FRACTIONAL DYNAMICS IN GENETIC ALGORITHMS

This paper investigate the fractional-order dynamics during the evolution of a Genetic Algorithm (GA). In order to study the phenomena involved in the GA population evolution, the mutation is exposed to excitation perturbations during some generationsand the corresponding fitness variations are evaluated. Three similar functions are tested to measure its influence in GA dynamics. The input and output signals are studied revealing a fractional-order dynamic evolution.