Development of fractional order electrical potential through PSO algorithm
AIC'10/BEBI'10 Proceedings of the 10th WSEAS international conference on applied informatics and communications, and 3rd WSEAS international conference on Biomedical electronics and biomedical informatics
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This article reports the study of fractional dynamics dur- ing the evolution of a Particle Swarm Optimization (PSO) algorithm. Some initial swarm particles are randomly changed, for stimulating the system response, and its effect is compared with a non-perturbed reference. The perturba- tion effect in the PSO evolution is observed in the perspec- tive of the fitness time behavior of the best particle. The dy- namics is represented through the median of a sample of ex- periments, while adopting the Fourier analysis for describ- ing the phenomena. The influence of the PSO parameters influence upon the global dynamics is also analyzed.