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Chemical Optimization Algorithm for Fuzzy Controller Design pp 27–56Cite as

Simulation Results

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Abstract

This chapter shows the simulation results obtained with the chemical optimization algorithm for the optimization of benchmark functions and robot fuzzy control design.

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References

  1. F. Valdez, P. Melin, Comparative study of PSO and GA for complex mathematical functions. J. Autom. Mob. Robot. Intell. Syst. 2–1, 43–51 (2008)

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  3. L. Astudillo, O. Castillo, L. Aguilar, Intelligent control for a perturbed autonomous wheeled mobile robot: a type-2 fuzzy logic approach. Nonlinear Stud 14–1, 37–48 (2007)

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  4. O. Castillo, R. Martinez-Marroquin, P. Melin, J. Soria, Comparative study of bio-inspired algorithms applied to the optimization of type-1 and type-2 fuzzy controllers for an autonomous mobile robot, Bio-inspired hybrid intelligent systems for image analysis and pattern recognition. Stud. Comput. Intell. 256(2009), 247–262 (2009)

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  5. R. Martinez, O. Castillo, L. Aguilar, Optimization of type-2 fuzzy logic controllers for a perturbed autonomous wheeled mobile robot using genetic algorithms. Inf. Sci. 179–13, 2158–2174 (2009)

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Author information

Authors and Affiliations

  1. Division of Graduate Studies, Tijuana Institute of Technology, Tijuana, Baja California, Mexico

    Leslie Astudillo, Patricia Melin & Oscar Castillo

Authors
  1. Leslie Astudillo
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  2. Patricia Melin
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  3. Oscar Castillo
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Corresponding author

Correspondence to Leslie Astudillo .

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Astudillo, L., Melin, P., Castillo, O. (2014). Simulation Results. In: Chemical Optimization Algorithm for Fuzzy Controller Design. SpringerBriefs in Applied Sciences and Technology(). Springer, Cham. https://doi.org/10.1007/978-3-319-05245-8_6

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  • DOI: https://doi.org/10.1007/978-3-319-05245-8_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-05244-1

  • Online ISBN: 978-3-319-05245-8

  • eBook Packages: EngineeringEngineering (R0)

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