Skip to main content
SpringerLink
Log in

Soft Computing, Genetic Algorithms and Engineering Problems: An Example of Application to Minimize a Cantilever Wall Cost

  • Conference paper
Trends in Applied Intelligent Systems (IEA/AIE 2010)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6098))

  • 1375 Accesses

Abstract

The present work offers an overview about the possibility of using a genetic algorithm as an optimization tool for minimizing the cost of a problem in the civil engineering area. Particularly, it goes into the efficiency aspects of the method.

In the context of the used operators by applying the method, a new cross-over type operator is set out, and its efficiency on its application over a relatively simple problem is studied: cost minimization from a cantilever wall of reinforced concrete.

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 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
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

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Rahami, H., Kaveh, A.: Nonlinear analysis and optmial design of structures via force method and genetic algorithm. Computer and Structures 84(12), 770–778 (2006)

    Article  Google Scholar 

  2. del Hormigón, C.P.: Instrucción Española de Hormigón Estructural (2008)

    Google Scholar 

  3. Eshelman, L.: The chc adaptive search algorithm. In: Rawlins, G.J.E. (ed.) Foundations of Genetic Algorithms, vol. I, pp. 265–283. Morgan Kauman, San Francisco (1991)

    Google Scholar 

  4. Goldberg, D., Deb, K.: A comparative analysis of selection schemes used in genetic algorithms. In: Foundations of Genetic Algorithms (1991)

    Google Scholar 

  5. Ibáñez, S.H.: Structural Optimum Design Methods. C.I.C.C.P, Coleccián SEINOR (1990)

    Google Scholar 

  6. Spears, W.M., De Jong, K.A.: An analysis of multi-point crossover. In: Rawlins, G.J.E. (ed.) Foundations of Genetic Algorithms, pp. 301–315. Morgan Kaufmann, San Francisco (1991)

    Google Scholar 

  7. Syswerda, G.: Schedule optimization using genetic algorithms. In: Davis, L. (ed.) Handbook of Genetic Algorithms, Van Nostrand Reinhold, pp. 332–349 (1991)

    Google Scholar 

  8. Whitley, D.: CUG369 — genitor. j-CUJ 10(11), 74 (1992)

    Google Scholar 

  9. Whitley, D.: A genetic algorithm tutorial (2005)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Dep. of Technologies of Computers and Communications, University of Extremadura, Spain

    Fernando Torrecilla-Pinero, Juan A. Gómez-Pulido, Miguel A. Vega-Rodríguez & Juan M. Sánchez-Pérez

  2. Dep. of Building, University of Extremadura, Spain

    Jesús A. Torrecilla-Pinero

Authors
  1. Fernando Torrecilla-Pinero
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Jesús A. Torrecilla-Pinero
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Juan A. Gómez-Pulido
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Miguel A. Vega-Rodríguez
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Juan M. Sánchez-Pérez
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Dept. of Computing and Numerical Analysis, University of Cordoba, Campus Universitario de Rabanales, Einstein Building, 3rd floor, 14071, Cordoba, Spain

    Nicolás García-Pedrajas

  2. Dept. of Computer Science and Artificial Intelligence, ETS de Ingenierias Informática y de Telecomunicación, University of Granada, 18071, Granada, Spain

    Francisco Herrera

  3. School of Computing, University of the West of Scotland, PA1 2BE, Paisley, UK

    Colin Fyfe

  4. Dept. Computer Science and Artificial Intelligence, ETS de Ingenierias Informática y de Telecomunicación, University of Granada, 18071, Granada, Spain

    José Manuel Benítez

  5. Department of Computer Science, Texas State University-San Marcos, 601 University Drive, TX 78666-4616, San Marcos, USA

    Moonis Ali

Rights and permissions

Reprints and permissions

Copyright information

© 2010 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Torrecilla-Pinero, F., Torrecilla-Pinero, J.A., Gómez-Pulido, J.A., Vega-Rodríguez, M.A., Sánchez-Pérez, J.M. (2010). Soft Computing, Genetic Algorithms and Engineering Problems: An Example of Application to Minimize a Cantilever Wall Cost. In: García-Pedrajas, N., Herrera, F., Fyfe, C., Benítez, J.M., Ali, M. (eds) Trends in Applied Intelligent Systems. IEA/AIE 2010. Lecture Notes in Computer Science(), vol 6098. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13033-5_58

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-13033-5_58

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-13032-8

  • Online ISBN: 978-3-642-13033-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation