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Abstract(s)
This article reports the study of fractional dynamics during the evolution of Particle Swarm Optimization (PSO) algorithm. Some initial swarm particles are randomly changed, for simulating the system response, and its effect is compared with a non-perturbed reference. The perturbation effect in the PSO evolution is observed in the perspective of the fitness time behavior of the best particle. the dynamics is represented throught the median of a sample of experiments, while adopting the Fourier analysis for describing the phenomena. The influence of the PSO parameters influence upon the global dynamics is also analyzed.
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Keywords
Particle swarm optimization Fractional calculus Intelligent systems Testing Analytical models Employee welfare