Fusion of clonal selection algorithm and harmony search method in optimisation of fuzzy classification systems

International Journal of Bio-Inspired Computation

Volumn 1, Issue 1-2, 2009, Pages 80-88

  Wang, Xiaolei ^a   Gao, Xiao Zhi ^a   Ovaska, Seppo J ^a  

^a AALTO UNIVERSITY   (Finland)

Author keywords

Clonal selection algorithm; CSA; Fuzzy classification systems; Harmony search method; Hs method; Hybrid optimisation methods

Indexed keywords

CLASSIFICATION (OF INFORMATION); FUZZY SYSTEMS;

CLONAL SELECTION ALGORITHMS; FUZZY CLASSIFICATION SYSTEMS; HARMONY SEARCH METHODS; HS METHOD; OPTIMISATION METHOD;

GENETIC ALGORITHMS;

EID: 78649588118     PISSN: 17580366     EISSN: 17580374     Source Type: Journal    
DOI: 10.1504/IJBIC.2009.022776     Document Type: Article

References (16)

1. Chang, X. and Lilly, J.H. (2004)'Evolutionary design of a fuzzy classifier from data', IEEE Transactions on Systems, Man and Cybernetics - Part B: Cybernetics, Vol. 34, No. 4, pp.1894-1906.
2. Dasgupta, D. (2006)'Advances in artificial immune systems', IEEE Computational Intelligence Magazine, Vol. 1, No. 4, pp.40-49.
3. Engelbrecht, A.P. (2005) Fundamentals of Computational Swarm Intelligence, John Wiley & Sons Ltd., West Sussex, England.
4. Fisher, R.A. (1936)'The use of multiple measurements in taxonomic problems', Annals of Eugenics, Vol. 7, pp.179-188.
5. Geem, Z.W., Kim, J.H. and Loganathan, G.V. (2001)'A new heuristic optimization algorithm: harmony search', Simulation, Vol. 76, No. 2, pp.60-68. (Pubitemid 32543074)
6. Geem, Z.W., Kim, J.H. and Loganathan, G.V. (2002)'Harmony search optimization: application to pipe network design', International Journal of Modeling and Simulation, Vol. 22, No. 2, pp.125-133. (Pubitemid 34732149)
7. Kang, S.L. and Geem, Z.W. (2004)'A new structural optimization method based on the harmony search algorithm', Computers and Structures, Vol. 82, Nos. 9-10, pp.781-798.
8. Lee, K.S. and Geem, Z.W. (2005)'A new meta-heuristic algorithm for continuous engineering optimization: harmony search theory and practice', Computer Methods in Applied Mechanics and Engineering, Vol. 194, Nos. 36-38, pp.3902-3922.
9. Poli, R. and Langdon, W.B. (2002) Foundations of Genetic Programming, Springer-Verlag, Berlin, Germany.
10. Russo, M. (2000)'Genetic fuzzy learning', IEEE Transactions on Evolutionary Computation, Vol. 4, No. 3, pp.259-273.
11. Setnes, M. and Roubos, H. (2000)'GA-fuzzy modelling and classification: complexity and performance', IEEE Transactions on Fuzzy Systems, Vol. 8, No. 5, pp.509-522.
12. Shi, Y., Eberhart, R. and Chen, Y. (1999)'Implementation of evolutionary fuzzy system', IEEE Transactions on Fuzzy Systems, Vol. 7, No. 2, pp.109-119.
13. Timmis, J., Andrews, P., Owens, N. and Clark, E. (2008)'An interdisciplinary perspective on artificial immune systems', Evolutionary Intelligence, Vol. 1, No. 1, pp.2-26.
14. Wang, X. (2005)'Clonal selection algorithm in power filter optimization', Proceedings of the IEEE Mid-Summer Workshop on Soft Computing in Industrial Applications, Espoo, Finland, pp.122-127. (Pubitemid 43862142)
15. Wang, X., Gao, X.Z. and Ovaska, S.J. (2004)'Artificial immune optimization methods and applications - a survey', Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, The Hague, The Netherlands, pp.3415-3420. (Pubitemid 40408362)
16. Wang, X., Gao, X.Z. and Ovaska, S.J. (2006)'A hybrid particle swarm optimization method', Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, Taipei, Taiwan, pp.4151-4157.