A Hybrid Optimization Method for Fuzzy Classification Systems

Authors:
X. Wang;X. Z. Gao;S. J. Ovaska
Affiliations:
-;-;-
Venue:
HIS '08 Proceedings of the 2008 8th International Conference on Hybrid Intelligent Systems
Year:
2008

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Abstract

This paper presents a hybrid optimization method based on the fusion of the Clonal Selection Algorithm (CSA) and Harmony Search (HS) technique. The CSA is employed to improve the members of the harmony memory in the HS method. The hybrid optimization algorithm is further used to optimize a fuzzy classification system for the Fisher Iris data classification. Computer simulations results demonstrate the effectiveness of our new approach.