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Differential Evolution with Dynamic Adaptation of Parameters for the Optimization of Fuzzy Controllers

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Recent Advances on Hybrid Approaches for Designing Intelligent Systems

Part of the book series: Studies in Computational Intelligence ((SCI,volume 547))

Abstract

The proposal described in this chapter uses the Differential Evolution (DE) algorithm as an optimization method in which we want to dynamically adapt its parameters using fuzzy logic control systems, with the goal that the fuzzy system gives the optimal parameter of the DE algorithm to find better results, depending on the type of problems the DE is applied.

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References

  1. Aguas-Marmolejo, S. J., Castillo, O.: Optimization of membership functions for type-1 and type 2 fuzzy controllers of an autonomous mobile robot using PSO. In: Recent Advances on Hybrid Intelligent Systems, pp. 97–104. Springer, Heidelberg (2013)

    Google Scholar 

  2. Astudillo, L., Melin, P., Castillo O.: Optimization of a fuzzy tracking controller for an autonomous mobile robot under perturbed torques by means of a chemical optimization paradigm. In: Recent Advances on Hybrid Intelligent Systems, pp. 3–20. Springer, Berlin (2013)

    Google Scholar 

  3. Eftekhari, M., Katebi, S.D., Karimi, M., Jahanmir, A.H.: Eliciting transparent fuzzy model using differential evolution. Appl. Soft Comput. 8(1), 466–476 (2008)

    Google Scholar 

  4. Fierro, R., Castillo, O.: Design of fuzzy control systems with different PSO variants. In: Recent Advances on Hybrid Intelligent Systems, pp. 81–88. Springer, Berlin (2013)

    Google Scholar 

  5. Hachicha, N., Jarboui, B., Siarry, P.: A fuzzy logic control using a differential evolution algorithm aimed at modelling the financial market dynamics. Inf. Sci. 181, 79–91 (2011)

    Article  Google Scholar 

  6. Lizárraga, E., Castillo, O., Soria, J.: A method to solve the traveling salesman problem using ant colony optimization variants with ant set partitioning. In: Recent Advances on Hybrid Intelligent Systems, pp. 237–246. Springer, Berlin (2013)

    Google Scholar 

  7. Melendez, A., Castillo, O.: Evolutionary optimization of the fuzzy integrator in a navigation system for a mobile robot. In: Recent Advances on Hybrid Intelligent Systems, pp. 21–31. Springer, Berlin (2013)

    Google Scholar 

  8. Melin, P., Olivas, F., Castillo, O., Valdez, F., Soria, J., García, J.: Optimal design of fuzzy classification systems using PSO with dynamic parameter adaptation through fuzzy logic. Expert Syst. Appl. 40(8), 3196–3206 (2013)

    Article  Google Scholar 

  9. Mezura-Montes, E., Palomeque-Ortiz, A.: Self-adaptive and Deterministic Parameter Control in Differential Evolution for Constrained Optimization. Laboratorio Nacional de Informatica Avanzada (LANIA A.C.), Rebsamen 80, Centro, Xalapa, Veracruz, 91000, MEXICO (2009)

    Google Scholar 

  10. Neyoy, H., Castillo, O., Soria, J.: Dynamic fuzzy logic parameter tuning for ACO and its application in TSP problems. Recent Advances on Hybrid Intelligent Systems, pp. 259–271. Springer, Berlin (2013)

    Google Scholar 

  11. Oh, S.-K., Kim, W.-D., Pedrycz, W.: Design of optimized cascade fuzzy controller based on differential evolution: simulation studies and practical insights. Eng. Appl. Artif. Intell. 25, 520–532 (2012)

    Article  Google Scholar 

  12. Olivas, F., Castillo, O.: Particle swarm optimization with dynamic parameter adaptation using fuzzy logic for benchmark mathematical functions. In: Recent Advances on Hybrid Intelligent Systems, pp. 247–258, Springer, Berlin (2013)

    Google Scholar 

  13. Price, K.V., Storn R., Lampinen. J.A.: Differential Evolution. Springer, Berlin (2005)

    Google Scholar 

  14. Raofen, W., Zhang, J., Zhang, Y., Wang, X.: Assessment of human operator functional state using a novel differential evolution optimization based adaptive fuzzy model. Biomed. Signal Process. Control 7, 490–498 (2012)

    Article  Google Scholar 

  15. Sombra, A., Valdez, F., Melin, P., Castillo, O.: A new gravitational search algorithm using fuzzy logic to parameter adaptation. In: IEEE Congress on Evolutionary Computation, pp. 1068–1074. IEEE, New York (2013)

    Google Scholar 

  16. Valdez, F., Melin, P., Castillo, O.: Evolutionary method combining particle swarm optimization and genetic algorithms using fuzzy logic for decision making. In: Proceedings of the IEEE International Conference on Fuzzy Systems, pp. 2114–2119. IEEE, New York (2009)

    Google Scholar 

  17. Valdez, F., Melin, P., Castillo, O.: Parallel particle swarm optimization with parameters adaptation using fuzzy logic. In: MICAI, part 2, pp. 374–385. Springer, Berlin (2012)

    Google Scholar 

  18. Valdez, F., Melin, P., Castillo, O.: Bio-inspired optimization methods on graphic processing unit for minimization of complex mathematical functions. In: Recent Advances on Hybrid Intelligent Systems, pp. 313–322. Springer, Berlin (2013)

    Google Scholar 

  19. Vucetic, D.: Fuzzy Differential Evolution Algorithm. The University of Western Ontario, London (2012)

    Google Scholar 

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Author information

Authors and Affiliations

  1. Tijuana Institute of Technology, Tijuana, Mexico

    Patricia Ochoa, Oscar Castillo & José Soria

Authors
  1. Patricia Ochoa
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  2. Oscar Castillo
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  3. José Soria
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Corresponding author

Correspondence to Oscar Castillo .

Editor information

Editors and Affiliations

  1. Division of Graduate Studies and Research, Tijuana Institute of Technology, Tijuana, Mexico

    Oscar Castillo

  2. Division of Graduate Studies and Research, Tijuana Institute of Technology, Tijuana, Mexico

    Patricia Melin

  3. Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Alberta, Canada

    Witold Pedrycz

  4. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    Janusz Kacprzyk

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Ochoa, P., Castillo, O., Soria, J. (2014). Differential Evolution with Dynamic Adaptation of Parameters for the Optimization of Fuzzy Controllers. In: Castillo, O., Melin, P., Pedrycz, W., Kacprzyk, J. (eds) Recent Advances on Hybrid Approaches for Designing Intelligent Systems. Studies in Computational Intelligence, vol 547. Springer, Cham. https://doi.org/10.1007/978-3-319-05170-3_19

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  • DOI: https://doi.org/10.1007/978-3-319-05170-3_19

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-05169-7

  • Online ISBN: 978-3-319-05170-3

  • eBook Packages: EngineeringEngineering (R0)

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