Skip to main content
SpringerLink
Log in

Theory and Background

  • Chapter
  • First Online:
Chemical Optimization Algorithm for Fuzzy Controller Design

Part of the book series: SpringerBriefs in Applied Sciences and Technology ((BRIEFSINTELL))

  • 681 Accesses

Abstract

This chapter describes the theoretical concepts and background required to understand the new nature inspired optimization method based on the paradigm of chemical reactions.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. J.H. Holland, Genetic algorithms. Sci. Am. 267(1), 44–50 (1992)

    Article  Google Scholar 

  2. M. Dorigo, V. Maniezzo, A. Colorni, Ant system: optimization of cooperating agents. IEEE Syst. Man Cybern. Soc. 26(1), 29–41 (1996)

    Article  Google Scholar 

  3. J. Kennedy, R.C. Eberhart, Particle swarm optimization, in Proceedings of IEEE International Conference on Neural Networks (Perth, WA, Australia, 1995), pp. 1942–1948

    Google Scholar 

  4. L.M. Adleman, Molecular computation of solutions to combinatorial problems. Science 266(5187), 1021–1024 (1994)

    Article  Google Scholar 

  5. 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)

    MATH  MathSciNet  Google Scholar 

  6. P. Salomon, P. Sibani, R. Frost, Facts, conjectures, and improvements for simulated annealing (Society for Industrial and Applied Mathematics (SIAM), Philadelphia, PA, 2002)

    Book  Google Scholar 

  7. P. Dittrich, J. Ziegler, W. Banzhaf, Artificial chemistries-a review. Artif. Life 7, 225–275 (2001)

    Article  Google Scholar 

  8. N.-Y. Shi, C.-P. Chu, A molecular solution to the hitting-set problem in DNA-based supercomputing. Inf. Sci. 180, 1010–1019 (2010)

    Article  Google Scholar 

  9. Z.W. Geem, Novel derivative of harmony search algorithm for discrete design variables. Appl. Math. Comput. 199(1), 223–230 (2008)

    Article  MATH  MathSciNet  Google Scholar 

  10. T. Meyer, L. Yamamoto, W. Banzhaf, C. Tschudin, Elongation Control in an Algorithmic Chemistry, Advances in Artificial Life: Darwin Meets von Neumann. Lecture Notes in Computer Science, vol. 5777 (2011), pp. 273–280

    Google Scholar 

  11. J. Xu, A.Y.S. Lam, V.O.K. Li, Chemical reaction optimization for the grid scheduling problem. IEE Commun. Soc. ICC 2010, 1–5 (2010)

    Google Scholar 

Download references

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
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Patricia Melin
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Oscar Castillo
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Leslie Astudillo .

Rights and permissions

Reprints and permissions

Copyright information

© 2014 The Author(s)

About this chapter

Cite this chapter

Astudillo, L., Melin, P., Castillo, O. (2014). Theory and Background. 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_2

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-05245-8_2

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-05244-1

  • Online ISBN: 978-3-319-05245-8

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation