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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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)
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)
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)
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)
de Castro, L.N., Timmis, J.: Artificial Immune Systems as a Novel Soft Computing Paradigm. Soft Computing 7(8), 526–544 (2003)
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)
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)
Michalewicz, Z.: Genetic algorithms + data structures = evolutionary algorithms. Springer, Berlin (1996)
MSC.Marc, Users Guide (2002)
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
Wierzchoń, S.T.: Artificial Immune Systems, theory and applications, EXIT, Warsaw (in Polish) (2001)
Zienkiewicz, O.C., Taylor, R.L.: The Finite Element Method. In: The Basis, Butterworth, Oxford, vol. 1-2 (2000)
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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
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