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Application of Computational Intelligence to Engineering

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Nonlinear Science and Complexity

Abstract

Computational Intelligence (CI) includes four main areas: Evolutionary Computation (genetic algorithms and genetic programming), Swarm Intelligence, Fuzzy Systems and Neural Networks. This article shows how CI techniques overpass the strict limits of Artificial Intelligence field and can help solving real problems from distinct engineering areas: Mechanical, Computer Science and Electrical Engineering.

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References

  1. T. Hagan et al., Neural Network Design (PWS, Boston, 1996)

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  2. Liu et al., An inverse procedure for determination of material constants of composite laminates using elastic waves. Comput. Methods Appl. Mech. Eng. 191, 3543–3554 (2002)

    Article  MATH  Google Scholar 

  3. R.E. Bellman, L.A. Zadeh, Local and fuzzy logics, in Selected Papers by Lofti A. Zadeh, 1965–1996. Advances in Fuzzy Systems—Applications and Theory, vol. 6 (World Scientific, Singapore, 1996)

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  4. A. Aamodt, E. Plaza, Case-based reasoning: foundational issues, methodological variations, and system approaches. Artif. Intell. Commun. 7(1), 39–59 (1994)

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  5. R.S. Zebulum et al., Evolutionary Electronics: Automatic Design of Electronic Circuits and Systems by Genetic Algorithms (CRC Press, Boca Raton, 2001)

    Book  Google Scholar 

  6. D. Goldberg, Genetic Algorithms in Search, Optimization and Machine Learning (Addison-Wesley, Reading, 1989)

    MATH  Google Scholar 

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Acknowledgements

The authors would like to acknowledge the GECAD and the CEMUC Units.

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Correspondence to Viriato M. Marques .

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© 2011 Springer Science+Business Media B.V.

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Marques, V.M., Roseiro, L., Reis, C., Machado, J.A.T. (2011). Application of Computational Intelligence to Engineering. In: Machado, J., Luo, A., Barbosa, R., Silva, M., Figueiredo, L. (eds) Nonlinear Science and Complexity. Springer, Dordrecht. https://doi.org/10.1007/978-90-481-9884-9_39

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  • DOI: https://doi.org/10.1007/978-90-481-9884-9_39

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-90-481-9883-2

  • Online ISBN: 978-90-481-9884-9

  • eBook Packages: EngineeringEngineering (R0)

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