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Dynamic simultaneous adaptation of parameters in the grey wolf optimizer using fuzzy logic.

, , , , , and . FUZZ-IEEE, page 1-6. IEEE, (2017)

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Interval type-2 fuzzy weight adjustment for backpropagation neural networks with application in time series prediction., , , and . Inf. Sci., (2014)A fuzzy system for parameter adaptation in ant colony optimization., , and . SIS, page 84-89. IEEE, (2014)Backpropagation learning method with interval type-2 fuzzy weights in neural networks., , , and . IJCNN, page 1-6. IEEE, (2013)Optimization with genetic algorithm and particle swarm optimization of type-2 fuzzy integrator for ensemble neural network in time series., , , and . FUZZ-IEEE, page 2067-2074. IEEE, (2016)Modular granular neural networks optimization with Multi-Objective Hierarchical Genetic Algorithm for human recognition based on iris biometric., , , and . IEEE Congress on Evolutionary Computation, page 772-778. IEEE, (2013)Fuzzy FWA with dynamic adaptation of parameters., , , and . CEC, page 4053-4060. IEEE, (2016)Modular Neural Networks with Type-2 Fuzzy Integration for Pattern Recognition of Iris Biometric Measure., , , and . MICAI (2), volume 7095 of Lecture Notes in Computer Science, page 363-373. Springer, (2011)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)Interval Type-2 fuzzy logic for dynamic parameter adjustment in the imperialist competitive algorithm., , , and . FUZZ-IEEE, page 1-5. IEEE, (2019)