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Particle swarm optimization with fractional-order velocity

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Abstract

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.

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References

  1. Banks, A., Vincent, J., Anyakoha, C.: A review of particle swarm optimization. ii: Hybridisation, combinatorial, multicriteria and constrained optimization, and indicative applications. Nat. Comput. 7(1), 109–124 (2008)

    Article  MATH  MathSciNet  Google Scholar 

  2. Gement, A.: On fractional differentials. Proc. Philos. Mag. 25, 540–549 (1938)

    Google Scholar 

  3. Oustaloup, A.: La Commande CRONE: Commande Robuste d’Ordre Non Intier. Hermes, Paris (1991)

    Google Scholar 

  4. Méhauté, A.L.: Fractal Geometries: Theory and Applications. Penton Press, Cleveland (1991)

    MATH  Google Scholar 

  5. Podlubny, I.: Fractional Differential Equations. Academic Press, San Diego (1999)

    MATH  Google Scholar 

  6. Tenreiro Machado, J.A.: Analysis and design of fractional-order digital control systems. J. Syst. Anal.-Model. Simul. 27, 107–122 (1997)

    MATH  Google Scholar 

  7. Tenreiro Machado, J.A.: System modeling and control through fractional-order algorithms. FCAA—J. Fractional Calc. Appl. Anal. 4, 47–66 (2001)

    MATH  MathSciNet  Google Scholar 

  8. Vinagre, B.M., Petras, I., Podlubny, I., Chen, Y.Q.: Using fractional order adjustment rules and fractional order reference models in model-reference adaptive control. Nonlinear Dyn. 1–4(29), 269–279 (2002)

    Article  MathSciNet  Google Scholar 

  9. Torvik, P.J., Bagley, R.L.: On the appearance of the fractional derivative in the behaviour of real materials. ASME J. Appl. Mech. 51, 294–298 (1984)

    Article  Google Scholar 

  10. Westerlund, S.: Dead Matter Has Memory! Causal Consulting. Kalmar, Sweden (2002)

  11. Herzallah, M.A.E., Baleanu, D.: Fractional-order Euler-Lagrange equations and formulation of Hamiltonian equations. Nonlinear Dyn. 58(1–2), 385–391 (2009)

    Article  MATH  MathSciNet  Google Scholar 

  12. Rabei, E.M., Altarazi, I.M.A., Muslih, S.I., Baleanu, D.: Fractional WKB approximation. Nonlinear Dyn. 57(1–2), 171–175 (2009)

    Article  MATH  MathSciNet  Google Scholar 

  13. Tarasov, V.E., Zaslavsky, G.M.: Fokker-Planck equation with fractional coordinate derivatives. Physica A, Stat. Mech. Appl. 387(26), 6505–6512 (2008)

    Article  MathSciNet  Google Scholar 

  14. Magin, R., Feng, X., Baleanu, D.: Solving the fractional order Bloch equation. Concepts Magn. Reson. 34A(1), 16–23 (2009)

    Article  Google Scholar 

  15. Solteiro Pires, E.J., de Moura Oliveira, P.B., Tenreiro Machado, J.A., Jesus, I.S.: Fractional order dynamics in a particle swarm optimization algorithm. In: Seventh International Conference on Intelligent Systems Design and Applications, ISDA 2007, Washington, DC, USA, pp. 703–710. IEEE Computer Society, Los Alamitos (2007)

    Chapter  Google Scholar 

  16. Kennedy, J., Eberhart, R.C.: Particle swarm optimization. In: Proceedings of the 1995 IEEE International Conference on Neural Networks, Perth, Australia, vol. 4, pp. 1942–1948. IEEE Service Center, Piscataway (1995)

    Chapter  Google Scholar 

  17. Shi, Y., Eberhart, R.: A modified particle swarm optimizer. In: Evolutionary Computation Proceedings, 1998. IEEE World Congress on Computational Intelligence, The 1998 IEEE International Conference on, Anchorage, Alaska, pp. 69–73 (1998)

  18. Løvbjerg, M., Rasmussen, T.K., Krink, T.: Hybrid particle swarm optimiser with breeding and subpopulations. In: Spector, L., Goodman, E.D., Wu, A., Langdon, W., Voigt, H.M., Gen, M., Sen, S., Dorigo, M., Pezeshk, S., Garzon, M.H., Burke, E. (eds.) Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2001), San Francisco, California, USA (7–11 July), pp. 469–476. Morgan Kaufmann, San Mateo (2001)

    Google Scholar 

  19. Solteiro Pires, E.J., Tenreiro Machado, J.A., de Moura Oliveira, P.B., Reis, C.: Fractional dynamics in particle swarm optimization. In: ISIC. IEEE International Conference on Systems, Man and Cybernetics, Montreal, Que. (7–10 Oct. 2007), pp. 1958–1962

  20. Reis, C., Machado, J., Galhano, A., Cunha, J.: Circuit synthesis using particle swarm optimization. In: IEEE International Conference on Computational Cybernetics (ICCC 2006) (Aug. 2006), pp. 1–6

  21. Eberhart, R., Simpson, P., Dobbins, R.: Computational Intelligence PC Tools. Academic Press, San Diego (1996)

    Google Scholar 

  22. den Bergh, F.V., Engelbrecht, A.P.: A study of particle swarm optimization particle trajectories. Inf. Sci. 176(8), 937–971 (2006)

    Article  MATH  Google Scholar 

  23. Eberhart, R., Shi, Y.: Comparing inertia weights and constriction factors in particle swarm optimization. In: Proceedings of the 2000 Congress on Evolutionary Computation, Washington, DC, vol. 1, pp. 84–88 (2000)

  24. Clerc, M., Kennedy, J.: The particle swarm—explosion, stability, and convergence in a multidimensional complex space. IEEE Trans. Evol. Comput. 6(1), 58–73 (2002)

    Article  Google Scholar 

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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

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  • DOI: https://doi.org/10.1007/s11071-009-9649-y

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