Author of the publication

Fuzzy Flower Pollination Algorithm (FFPA): Comparative Study of Type-1 (T1FLS) and Interval Type-2 Fuzzy Logic System (IT2FLS) in Optimization Parameter Adaptation.

, , and . Computación y Sistemas, (2022)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

 

Other publications of authors with the same name

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)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)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)A fuzzy system for parameter adaptation in ant colony optimization., , and . SIS, page 84-89. IEEE, (2014)Fuzzy logic for dynamic adaptation in PSO with multiple topologies., and . IFSA/NAFIPS, page 1197-1202. IEEE, (2013)Ant Colony Optimization for solving the TSP symetric with parallel processing., and . IFSA/NAFIPS, page 1192-1196. IEEE, (2013)Interval Type-2 fuzzy logic for dynamic parameter adjustment in the imperialist competitive algorithm., , , and . FUZZ-IEEE, page 1-5. IEEE, (2019)Interval type-2 fuzzy weight adjustment for backpropagation neural networks with application in time series prediction., , , and . Inf. Sci., (2014)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)