Study of Multiverse Optimizer Variations with Chaos Theory and Fuzzy Logic Over Benchmark Optimization
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-39774-5_53
Reference23 articles.
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2. Studies in Computational Intelligence;M Guerrero-Luis,2021
3. Ochoa, P., Castillo, O., Soria, J.: Optimization of fuzzy controller design using a differential evolution algorithm with dynamic parameter adaptation based on Type-1 and Interval Type-2 fuzzy systems. Soft Comput. 24, 193–214 (2020). https://doi.org/10.1007/S00500-019-04156-3/TABLES/14
4. Bernal, E., Lagunes, M.L., Castillo, O., Soria, J., Valdez, F.: Optimization of Type-2 fuzzy logic controller design using the GSO and FA algorithms. Int. J. Fuzzy Syst. 23, 42–57 (2021). https://doi.org/10.1007/S40815-020-00976-W/TABLES/18
5. Atan, Ö., Kutlu, F., Castillo, O.: Intuitionistic fuzzy sliding controller for uncertain hyperchaotic synchronization. Int. J. Fuzzy Syst. 22, 1430–1443 (2020). https://doi.org/10.1007/S40815-020-00878-X/TABLES/2
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