Adaptive Dynamic Clone Selection Strategy for Optimization

Abstract:

Based on the Antibody Clonal Selection Theory of immunology, an adaptive dynamic clone select algorithm is put forward. The new algorithm is intended to integrate the local searching with the global and the probability evolution searching with the stochastic searching. Compared with other algorithms, the new algorithm prevents prematurely more effectively and has high convergence speed. Numeric experiments of function optimization indicate that the new algorithm is effective and useful.

• Periodical: Key Engineering Materials (Volume 567)
• Pages: 133-138
• DOI: https://doi.org/10.4028/www.scientific.net/KEM.567.133
• Online since: July 2013
• Authors: Hong Bing Wu, Pei Huang Lou, Dun Bing Tang
• Keywords: Adaptive, Affinity, Antibody, Clone Selection Strategy, Optimization

References

[1] F.M. Burnet. The clonal selection theory of acquired immunity. Cambridge University Press, Cambridge (1959).

[2] T. Fukuda, K. Mori, M. Tsukiyama. Immune Networks Using Genetic Algorithm for Adaptive Production Scheduling. In: 15th IFAC world congress, 3(1993)57-60.

[3] L.N. de Castro, F.J. Von Zuben. Learning and Optimization Using the Clonal Selection Principle. IEEE Trans Evol Comput 6(3) (2002)239-251.

DOI: 10.1109/tevc.2002.1011539

[4] C.A. Coello Coello, Cortes NC Solving Multiobjective Optimization Problems Using an Artificial Immune System. Genet Program Evolvable Mach 6 (2005)163-190.

DOI: 10.1007/s10710-005-6164-x

[5] F. Freschi, M. Repetto. VIS: An Artificial Immune Network for Multi-Objective Optimization. Eng Optim 38(8) (2006)975-996.

DOI: 10.1080/03052150600880706

[6] M.G. Gong, L.C. Jiao, H.F. Du, L.F. Bo. Multi-Objective Immune Algorithm with Nondominated Neighbor-Based Selection. Evol Comput 16(2) (2008)225-255.

DOI: 10.1162/evco.2008.16.2.225

[7] M.G. Gong, L.C. Jiao, W.P. Ma, H.F. Du. Multiobjective Optimization Using An Immunodominance and Clonal Selection Inspired Algorithm. Sci China Ser F Inform Sci 51(8) (2008)1064-1082.

DOI: 10.1007/s11432-008-0040-2

[8] L.N. De Castro, F. J. Von Zuben. The Clonal Selection Algorithm with Engineering Applications, Proc. of GECCO'00, Workshop on Artificial Immune Systems and Their Applications, (2000) 36-37.

[9] J. Kim P.J. Bentley. Towards an Artificial Immune System for Network Intrusion Detection: An Investigation of Clonal Selection with a Negative Selection Operator. Proceedings of the 2001 Congress on Evolutionary Computation, 2 (2001) 1244-1252.

DOI: 10.1109/cec.2001.934333

[10] H.F. DU, L.C. JIAO, S.A. Wang. Clonal Operator and Antibody Clone Algorithms. Proceedings of the First International Conference on Machine Learning and Cybernetics, Beijing, (2002) 506-510.

DOI: 10.1109/icmlc.2002.1176807

[11] L. N. De Castro, F. J. von Zuben. The Clonal Selection Algorithm with Engineering Applications. In: Whitley L D, Goldberg D E, et al, eds. Proc. of the GECCO 2000. San Fransisco: Morgan Kaufman Publishers, (2000)36-37.

[12] M.G. Gong, L. Hao. Data Reduction Based on Artificial Immune System. Journal of Software, 20 (4)(2009)804-814.

[13] S. Surya, G. W. Mack, E.J. Powers, et al. Characterization of Distribution Power Quality Events with Fourier and Wavelet Transforms. IEEE Transactions on Power Delivery, 15(1) (2000)247-254.

DOI: 10.1109/61.847259

[14] Andrew Chipperfield, Peter Fleming, Hartmut Pohlheim, Carlos Fonseca. Genetic Algorithm TOOLBOX for Use with MATLAB. http: /clio. mit. csu. edu. au/subjects/itc554/Src.

[15] H.F. DU, L.C. Jiao. Adaptive Dynamic Clone Selection Algorithms. S. Tsumoto et al. (Eds. ): RSCTC 2004, LNAI 3066(2004)768-773.