Fractal geometries: theory and applications
Fractal geometries: theory and applications
Analysis and design of fractional-order digital control systems
Systems Analysis Modelling Simulation
A statistical perspective to the fourier analysis of mechanical manipulators
Systems Analysis Modelling Simulation
Multi-Objective Optimization Using Evolutionary Algorithms
Multi-Objective Optimization Using Evolutionary Algorithms
Fractional order dynamics in a GA planner
Signal Processing - Special issue: Fractional signal processing and applications
Dynamical analysis of freeway traffic
IEEE Transactions on Intelligent Transportation Systems
Evolutionary computation: comments on the history and current state
IEEE Transactions on Evolutionary Computation
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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.