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A high-speed interval type 2 fuzzy system approach for dynamic parameter adaptation in metaheuristics.

, , , , , , and . Eng. Appl. Artif. Intell., (2019)

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Comparative Study of Type-1 and Interval Type-2 Fuzzy Systems in the Fuzzy Harmony Search Algorithm Applied to Benchmark Functions., , and . EUSFLAT/IWIFSGN (3), volume 643 of Advances in Intelligent Systems and Computing, page 162-170. Springer, (2017)An Efficient Chicken Search Optimization Algorithm for the Optimal Design of Fuzzy Controllers., , , and . Axioms, 10 (1): 30 (2021)A Shadowed Type-2 Fuzzy Approach for Crossover Parameter Adaptation in Differential Evolution., , , and . Algorithms, 16 (6): 279 (June 2023)Improved Method Based on Type-2 Fuzzy Logic for the Adaptive Harmony Search Algorithm., , and . Fuzzy Logic Augmentation of Neural and Optimization Algorithms, volume 749 of Studies in Computational Intelligence, Springer, (2018)A New Fuzzy Harmony Search Algorithm Using Fuzzy Logic for Dynamic Parameter Adaptation., , , , and . Algorithms, 9 (4): 69 (2016)Comparative Study of the Conventional Mathematical and Fuzzy Logic Controllers for Velocity Regulation., , , and . Axioms, 8 (2): 53 (2019)Dynamic parameter adaptation in the harmony search algorithm for the optimization of interval type-2 fuzzy logic controllers., and . Soft Comput., 24 (1): 179-192 (2020)Comparative Study in Fuzzy Controller Optimization Using Bee Colony, Differential Evolution, and Harmony Search Algorithms., , , , , and . Algorithms, 12 (1): 9 (2019)A high-speed interval type 2 fuzzy system approach for dynamic parameter adaptation in metaheuristics., , , , , , and . Eng. Appl. Artif. Intell., (2019)An Adaptive Fuzzy Control Based on Harmony Search and Its Application to Optimization., , and . Nature-Inspired Design of Hybrid Intelligent Systems, volume 667 of Studies in Computational Intelligence, Springer, (2017)