Abstract
The main contribution of this paper is the use of a new concept of type reduction in type-2 fuzzy systems for improving performance in differential evolution algorithm. The proposed method is an analytical approach using an approximation to the Continuous Karnik-Mendel (CEKM) method, and in this way the computational evaluation cost of the Interval Type 2 Fuzzy System is reduced. The performance of the proposed approach was evaluated with seven reference functions using the Differential Evolution algorithm with a crossover parameter that is dynamically adapted with the proposed methodology.
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Ochoa, P., Castillo, O., Soria, J., Cortes-Antonio, P. (2018). Differential Evolution Algorithm Using a Dynamic Crossover Parameter with High-Speed Interval Type 2 Fuzzy System. In: Batyrshin, I., MartÃnez-Villaseñor, M., Ponce Espinosa, H. (eds) Advances in Soft Computing. MICAI 2018. Lecture Notes in Computer Science(), vol 11288. Springer, Cham. https://doi.org/10.1007/978-3-030-04491-6_28
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