Abstract
This research paper presents a parallel immune algorithm, par-IA, using the LAM/MPI library to tackle global numerical optimization problems. par-IA has been compared with two important clonal selection algorithms, CLONALG and opt-IA, and a well-known evolutionary algorithm for function optimization, FEP. The experimental results show a global better performance of par-IA with respect to optIA, CLONALG, and FEP. Considering the results obtained, we can claim that par-IA is a robust immune algorithm for effectively performing global optimization tasks.
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References
1. Sarker R., Mohammadian M., Yao X. (2002) Evolutionary Optimization, Springer
2. De Castro L. N., Von Zuben F. J. (2002) Learning and optimization using the clonal selection principle. IEEE Trans. on Evolutionary Computation, 6(3) 239–251
3. Cutello V., Narzisi G., Nicosia G., Pavone M. (2005) An Immunological Algorithm for Global Numerical Optimization. 7th Int. Conf. on Artificial Evolution, October 26–28, 2005, University of Lille, France, Springer-Verlag, LNCS (to appear)
4. Yao X., Liu Y., Lin G. M. (1999) Evolutionary programming made faster. IEEE Trans. on Evolutionary Computation, 3, 82–102
5. De Castro L. N., Timmis J. (2002) An Artificial Immune Network for Multimodal Function Optimization. CEC'02, Proceeding of IEEE Congress on Evolutionary Computation, IEEE Press, 699–704
6. Cutello V., Nicosia G., Pavone M. (2004) Exploring the capability of immune algorithms: A characterization of hypermutation operators. Proc. of the Third Int. Conf. on Arti.cial Immune Systems (ICARIS'04), Springer-Verlag, LNCS, 3239, 263–276
7. Burns G., Daoud R., Vaigl J. (1994) LAM: An Open Cluster Environment for MPI. Proceedings of Supercomputing Symposium, 379–386
8. Squyres, J. M. Lumsdaine A. (2003) A Component Architecture for LAM/MPI. Proceedings, 10th European PVM/MPI Users' Group Meeting, Venice, Italy, Springer-Verlag, LNCS, 2840, 379–387
9. LAM/MPI Parallel Computing, http://www.lam-mpi.org
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Cutello, V., Nicosia, G., Pavia, E. (2006). A Parallel Immune Algorithm for Global Optimization. In: Kłopotek, M.A., Wierzchoń, S.T., Trojanowski, K. (eds) Intelligent Information Processing and Web Mining. Advances in Soft Computing, vol 35. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-33521-8_51
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DOI: https://doi.org/10.1007/3-540-33521-8_51
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-33520-7
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