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Shadowed Type-2 Fuzzy Systems for Dynamic Parameter Adaptation in Harmony Search and Differential Evolution Algorithms.

, , , , , , and . Algorithms, 12 (1): 17 (2019)

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Imperialist Competitive Algorithm with Dynamic Parameter Adaptation Using Fuzzy Logic Applied to the Optimization of Mathematical Functions., , , and . Algorithms, 10 (1): 18 (2017)An Improved Simulated Annealing Algorithm for the Optimization of Mathematical Functions., and . Design of Intelligent Systems Based on Fuzzy Logic, Neural Networks and Nature-Inspired Optimization, volume 601 of Studies in Computational Intelligence, Springer, (2015)A New Bat Algorithm with Fuzzy Logic for Dynamical Parameter Adaptation and Its Applicability to Fuzzy Control Design., , and . Fuzzy Logic Augmentation of Nature-Inspired Optimization Metaheuristics, volume 574 of Studies in Computational Intelligence, Springer, (2015)Modification of the Bat Algorithm Using Type-2 Fuzzy Logic for Dynamical Parameter Adaptation., , and . Nature-Inspired Design of Hybrid Intelligent Systems, volume 667 of Studies in Computational Intelligence, Springer, (2017)Optimization of Modular Network Architectures with a New Evolutionary Method Using a Fuzzy Combination of Particle Swarm Optimization and Genetic Algorithms.. Fuzzy Logic Augmentation of Nature-Inspired Optimization Metaheuristics, volume 574 of Studies in Computational Intelligence, Springer, (2015)Evolutionary Computing for Fuzzy System Optimization in Intelligent Control., , and . IC-AI, page 98-104. CSREA Press, (2004)Bat algorithm with parameter adaptation using Interval Type-2 fuzzy logic for benchmark mathematical functions., , , and . IEEE Conf. on Intelligent Systems, page 120-127. IEEE, (2016)A New Evolutionary Method Combining Particle Swarm Optimization and Genetic Algorithms Using Fuzzy Logic., , and . Soft Computing for Hybrid Intelligent Systems, volume 154 of Studies in Computational Intelligence, Springer, (2008)Modular Neural Networks architecture optimization with a new nature inspired method using a fuzzy combination of Particle Swarm Optimization and Genetic Algorithms., , and . Inf. Sci., (2014)New approach using ant colony optimization with ant set partition for fuzzy control design applied to the ball and beam system., , , , and . Inf. Sci., (2015)