Fusion of clonal selection algorithm and harmony search method in optimisation of fuzzy classification systems
by Xiaolei Wang, Xiao-Zhi Gao, Seppo J. Ovaska
International Journal of Bio-Inspired Computation (IJBIC), Vol. 1, No. 1/2, 2009

Abstract: This paper presents a hybrid optimisation method based on the fusion of the clonal selection algorithm (CSA) and harmony search (HS) technique. The CSA is employed to improve the harmony memory members in the HS method. The hybrid optimisation algorithm is further used to optimise Sugeno fuzzy classification systems for the Fisher Iris data and wine data classification. Computer simulations results demonstrate the remarkable effectiveness of our new approach.

Online publication date: Mon, 26-Jan-2009

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