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Particle swarm optimization with fractional-order velocity
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Orientador(es)
Resumo(s)
This paper proposes a novel method for controlling the convergence rate of a particle swarm optimization algorithm using fractional calculus (FC) concepts. The optimization is tested for several well-known functions and the relationship between the fractional order velocity and the convergence of the algorithm is observed. The FC demonstrates a potential for interpreting evolution of the algorithm and to control its convergence.
Descrição
Palavras-chave
Particle swarm optimization Fractional calculus
Contexto Educativo
Citação
Editora
Springer