Journal of Grid Computing

, Volume 13, Issue 3, pp 305–308 | Cite as

Parallel Bioinspired Algorithms on the Grid and Cloud

Guest editor message to the Special Issue
  • J. Ignacio Hidalgo
  • Francisco Fernández de Vega
Article
First Online:
Received:
Accepted:

Abstract

This paper is the guest editors message to the Special Issue on Parallel Evolutionary Algorithms on Grid and Cloud. Although this special issue includes extended version of selected papers presented at the last three EvoPar Conferences, the reviewing and selection process was made under a strict peer reviewing process and after a call for papers open for submission from out of the conference. We briefly introduce the accepted papers in this message.

Keywords

Parallel architectures Evolutionary computation Cloud computing Grid computing 
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References

  1. 1.
    Chio, C., Agapitos, A., Cagnoni, S., Cotta, C., Vega, F.F. (eds.): In: Proceedings of the 2012t European Conference on Applications of Evolutionary Computation. Springer-Verlag, Berlin, Heidelberg (2012)Google Scholar
  2. 2.
    Fernández-de-Vega, F., Cantú-Paz, E.: Message from the chairs. In: 34th International Conference on Parallel Processing (ICPP 2005), Oslo, Norway, 1417 June 2005; 572. IEEE Computer Society (2005)Google Scholar
  3. 3.
    Thierens, D. (ed.): Genetic and Evolutionary Computation Conference, GECCO 2007. In: Proceedings, London, England, UK, July 7-11, 2007, Companion Material. ACM (2007)Google Scholar
  4. 4.
    Hidalgo, J.I.: Special issue: parallel architectures and bioinspired algorithm; editorial. IJHPSA 1(4), 207-208 (2008)Google Scholar
  5. 5.
    Hidalgo, J.I., Fernández, F., Lanchares, J., Cantú-Paz, E., Zomaya, A.Y.: Parallel architectures and bioinspired algorithms. Parallel Comput. 36(10-11), 553-554 (2010)CrossRefGoogle Scholar
  6. 6.
    Hidalgo, J.I., Fernández-de-Vega, F.: Special issue on parallel architectures and bioinspired algorithm: guest editors message. Concurrency Computat.: Pract. Exper. 25, 1013-1014 (2013)CrossRefGoogle Scholar
  7. 7.
    Risco-Martin, J.L., Lanchares, J., Coello-Coello, C.: Special issue on evolutionary computation on general purpose graphics processing units. Soft Comput. - A Fusion of Foundations Methodologies and Applications 16, 185-186 (2012)Google Scholar
  8. 8.
    Esparcia-Alcázar, A.I. (ed.): In: Proceedings of the 16th European Conference on Applications of Evolutionary Computation. Springer-Verlag, Berlin, Heidelberg (2013)Google Scholar
  9. 9.
    Esparcia-Alcázar, A.I. (ed.): In: Proceedings of the 17th European Conference on Applications of Evolutionary Computation, Granada (Spain). Springer-Verlag, Berlin, Heidelberg (2014)Google Scholar
  10. 10.
    Lutton, E., Gilbert, H., Cancino, W., Bach, B., Pallamidessi, J., Parrend, P., Collet, P.: Visual and audio monitoring of island based parallel evolutionary algorithms. special issue on parallel evolutionary algorithm on grid and cloud. J. Grid Comput., 1–19 (2014)Google Scholar
  11. 11.
    García-Valdez, M., Trujillo, L., Merelo, J.J., de Vega, F.F., Olague, G.: The EvoSpace model for pool-based evolutionary algorithms. J. Grid Comput., 1–21Google Scholar
  12. 12.
    Nogueras, R., Cotta, C.: Studying fault-tolerance in island-based evolutionary and multimemetic algorithms, Special Issue on Parallel Evolutionary Algorithm on Grid and Cloud. J. Grid Comput.Google Scholar
  13. 13.
    Pascual, J.A., Lorido-Botrán, T., Miguel-Alonso, J., Lozano, J.A.: Towards a greener cloud infrastructure management using optimized placement policies. Special issue on parallel evolutionary algorithm on grid and cloud. J. Grid Comput., 1–15 (2014)Google Scholar
  14. 14.
    Veeramachaneni, K., Arnaldo, I., Derby, O., O’Reilly, U.M., Flex, G.P.: Special issue on parallel evolutionary algorithm on grid and cloud. J. Grid Comput., 1–17Google Scholar
  15. 15.
    Arnaldo, I., Krawiec, K., O’Reilly, U.-M.: Multiple regression genetic programming. Proceedings of the Genetic and Evolutionary Computation Conference (GECCO) 2014, 879-886. Vancouver, BC, Canada, July 12-16, 2014. ACM 2014, ISBN 978-1-4503-2662-9Google Scholar
  16. 16.
    Arroba, P., Risco-Martín, J.L., Zapater, M., Moya, J.M., Ayala, J.L.: Enhancing regression models for complex systems using evolutionary techniques for feature engineering. Special issue on parallel evolutionary algorithm on grid and cloud. J. Grid Comput., 1–15 (2014)Google Scholar

Copyright information

© Springer Science+Business Media Dordrecht 2014

Authors and Affiliations

  • J. Ignacio Hidalgo
    • 1
  • Francisco Fernández de Vega
    • 2
  1. 1.Universidad Complutense de MadridMadridSpain
  2. 2.Centro Universitario de MéridaMéridaSpain

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