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Advisor(s)
Abstract(s)
The paper addresses new perspective of the PSO including a fractional
block. The local gain is replaced by one of fractional order considering several previous
positions of the PSO particles. The algorithm is evaluated for several well known
test functions and the relationship between the fractional order and the convergence
of the algorithm is observed. The fractional order influences directly the algorithm
convergence rate demonstrating a large potencial for developments.
Description
Keywords
Fractional Calculus Particle Swarm Optimization