SIFT-SS: An Advanced Steady-State Multi-Objective Genetic Fuzzy System
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- González M., Casillas J., Morell C. (2010) SIFT-SS: An Advanced Steady-State Multi-Objective Genetic Fuzzy System. In: Corchado E., Graña Romay M., Manhaes Savio A. (eds) Hybrid Artificial Intelligence Systems. HAIS 2010. Lecture Notes in Computer Science, vol 6077. Springer, Berlin, Heidelberg
Nowadays, automatic learning of fuzzy rule-based systems is being addressed as a multi-objective optimization problem. A new research area of multi-objective genetic fuzzy systems (MOGFS) has capture the attention of the fuzzy community. Despite the good results obtained, most of existent MOGFS are based on a gross usage of the classic multi-objective algorithms. This paper takes an existent MOGFS and improves its convergence by modifying the underlying genetic algorithm. The new algorithm is tested in a set of real-world regression problems with successful results.
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