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Universal Global Optimization Algorithm on Shared Memory Multiprocessors

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Distributed Computing, Artificial Intelligence, Bioinformatics, Soft Computing, and Ambient Assisted Living (IWANN 2009)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5518))

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Abstract

In this work, a parallel version of the evolutionary algorithm called UEGO (Universal Evolutionary Global Optimizer) has been implemented and evaluated on shared memory architectures. It is based on a threaded programming model, which is suitable to be run on current personal computers with multicore processors.

This work has been funded by grants from the Spanish Ministry of Science and Innovation (TIN2008-01117) and Junta de Andalucía (P06-TIC-01426, P08-TIC-3518), in part financed by the European Regional Development Fund (ERDF).

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References

  1. Redondo, J., Fernández, J., García, I., Ortigosa, P.: A robust and efficient global optimization algorithm for planar competitive location problems. Annals of Operations Research 167, 87–106 (2009)

    Article  MathSciNet  MATH  Google Scholar 

  2. Redondo, J., Fernández, J., García, I., Ortigosa, P.: Solving the multiple competitive location and design problem on the plane. Evolutionary Computation 17(1), 21–53 (2009)

    Article  Google Scholar 

  3. Redondo, J., Fernández, J., García, I., Ortigosa, P.: Heuristics for the facility location and design (1|1)-centroid problem on the plane. Computational Optimizations and Applications (2007) (to appear), doi:10.1007/s10589-008-9170-0

    Google Scholar 

  4. Redondo, J., Fernández, J., García, I., Ortigosa, P.: Parallel algorithms for continuous competitive location problems. Optimization Methods & Software 23(5), 779–791 (2008)

    Article  MathSciNet  MATH  Google Scholar 

  5. Jelásity, M., Ortigosa, P., García, I.: UEGO, an abstract clustering technique for multimodal global optimization. Journal of Heuristics 7(3), 215–233 (2001)

    Article  MATH  Google Scholar 

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Author information

Authors and Affiliations

  1. Dpt. Computer Architecture and Electronics, University of Almería, 04120, Almería, Spain

    Juana L. Redondo, Inmaculada García & Pilar Martínez Ortigosa

Authors
  1. Juana L. Redondo
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  2. Inmaculada García
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  3. Pilar Martínez Ortigosa
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Editor information

Editors and Affiliations

  1. Graduate School of Engineering, Osaka Prefecture University, Osaka, Japan

    Sigeru Omatu

  2. Department of Informatics / CCTC, University of Minho, Braga, Portugal

    Miguel P. Rocha

  3. MAmI Research Lab, University of Castilla-La Mancha,, Ciudad Real, Spain

    José Bravo

  4. Department of Informatics, University of Vigo, Ourense, Spain

    Florentino Fernández

  5. Grupo de Investigación GICAP, Área de Lenguajes Higher Polytechnic School, Universidad de Burgos, Burgos, Spain

    Emilio Corchado

  6. Higher Polytechnic School, University of Burgos, Burgos, Spain

    Andrés Bustillo

  7. Department of Informatics, University of Salamanca, Salamanca, Spain

    Juan M. Corchado

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© 2009 Springer-Verlag Berlin Heidelberg

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Redondo, J.L., García, I., Martínez Ortigosa, P. (2009). Universal Global Optimization Algorithm on Shared Memory Multiprocessors. In: Omatu, S., et al. Distributed Computing, Artificial Intelligence, Bioinformatics, Soft Computing, and Ambient Assisted Living. IWANN 2009. Lecture Notes in Computer Science, vol 5518. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02481-8_30

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  • DOI: https://doi.org/10.1007/978-3-642-02481-8_30

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-02480-1

  • Online ISBN: 978-3-642-02481-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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