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| 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 wellknown 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. | 655.82 KB | Adobe PDF |
Advisor(s)
Abstract(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 wellknown 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.
Description
Keywords
Particle swarm optimization Fractional calculus
Pedagogical Context
Citation
Solteiro Pires, E.J., Tenreiro Machado, J.A., de Moura Oliveira, P.B. et al. Particle swarm optimization with fractional-order velocity. Nonlinear Dyn 61, 295–301 (2010). https://doi.org/10.1007/s11071-009-9649-y.
Publisher
Springer Nature
