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Parallel Bioinspired Algorithms in Optimization of Structures

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Parallel Processing and Applied Mathematics (PPAM 2007)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4967))

Abstract

The parallel versions of bioinspired algorithms are presented in the paper. The parallel evolutionary algorithms and artificial immune systems are described. The applications of bioinspired algorithms to optimization of mechanical structures are shown. The numerical tests presented in the paper were computed with use of grid based on Alchemi framework.

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References

  1. Akshay, L., Rajkumar, B., Rajiv, R., Srikumar, V.: Peer-to-Peer Grid Computing and a.NET-based Alchemi Framework. In: Yang, L., Guo, M. (eds.) High Performance Computing: Paradigm and Infrastructure, Wiley Press, New Jersey (2005)

    Google Scholar 

  2. Burczyński, T., Kuś, W., Długosz, A., Orantek, P.: Optimization and defect identification using distributed evolutionary algorithms. Engineering Applications of Artificial Intelligence 17(4), 337–344 (2004)

    Article  Google Scholar 

  3. Burczyński, T., Kuś, W.: Optimization of structures using distributed and parallel evolutionary algorithms. In: Wyrzykowski, R., Dongarra, J., Paprzycki, M., Waśniewski, J. (eds.) PPAM 2004. LNCS, vol. 3019, pp. 572–579. Springer, Heidelberg (2004)

    Google Scholar 

  4. de Castro, L.N., Von Zuben, F.J.: Learning and Optimization Using the Clonal Selection Principle. IEEE Transactions on Evolutionary Computation, Special Issue on Artificial Immune Systems 6(3), 239–251 (2002)

    Google Scholar 

  5. de Castro, L.N., Timmis, J.: Artificial Immune Systems as a Novel Soft Computing Paradigm. Soft Computing 7(8), 526–544 (2003)

    Google Scholar 

  6. Kuś, W., Burczyński, T.: Grid-based evolutionary optimization of structures. In: Wyrzykowski, R., Dongarra, J., Meyer, N., Waśniewski, J. (eds.) PPAM 2005. LNCS, vol. 3911, Springer, Heidelberg (2006)

    Google Scholar 

  7. Kuś, W.: Evolutionary optimization of forging anvils using grid based on Alchemi framework. In: Proc. 2nd IEEE International Conference on e-Science and Grid Computing eScience 2006, Amsterdam (2006)

    Google Scholar 

  8. Michalewicz, Z.: Genetic algorithms + data structures = evolutionary algorithms. Springer, Berlin (1996)

    Google Scholar 

  9. MSC.Marc, Users Guide (2002)

    Google Scholar 

  10. Watkins, A., Bi, X., Phadke, A.: Parallelizing an Immune-Inspired Algorithm for Efficient Pattern Recognition. Intelligent Engineering Systems through Artificial Neural Networks: Smart Engineering System Design 13, 225–230

    Google Scholar 

  11. Wierzchoń, S.T.: Artificial Immune Systems, theory and applications, EXIT, Warsaw (in Polish) (2001)

    Google Scholar 

  12. Zienkiewicz, O.C., Taylor, R.L.: The Finite Element Method. In: The Basis, Butterworth, Oxford, vol. 1-2 (2000)

    Google Scholar 

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Roman Wyrzykowski Jack Dongarra Konrad Karczewski Jerzy Wasniewski

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© 2008 Springer-Verlag Berlin Heidelberg

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Kuś, W., Burczyński, T. (2008). Parallel Bioinspired Algorithms in Optimization of Structures. In: Wyrzykowski, R., Dongarra, J., Karczewski, K., Wasniewski, J. (eds) Parallel Processing and Applied Mathematics. PPAM 2007. Lecture Notes in Computer Science, vol 4967. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-68111-3_136

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  • DOI: https://doi.org/10.1007/978-3-540-68111-3_136

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-68105-2

  • Online ISBN: 978-3-540-68111-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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