A genetic algorithm for multiobjective training of ANFIS fuzzy networks.
Eduardo G. CarranoRicardo H. C. TakahashiWalmir M. CaminhasOriane M. NetoPublished in: IEEE Congress on Evolutionary Computation (2008)
Keyphrases
- multi objective
- genetic algorithm
- fuzzy logic
- fuzzy inference system
- evolutionary algorithm
- multi objective optimization
- multiobjective optimization
- optimization algorithm
- membership functions
- neural network
- fuzzy systems
- multiple objectives
- nsga ii
- fuzzy sets
- particle swarm optimization
- artificial neural networks
- multiobjective genetic algorithm
- recurrent networks
- multi criteria
- pareto dominance
- objective function
- fuzzy rules
- multiobjective evolutionary algorithms
- echo state networks
- pareto optimal
- fitness function
- multiobjective evolutionary algorithm
- neuro fuzzy
- fuzzy controller
- fuzzy neural network
- input output
- mutation operator
- bi objective
- conflicting objectives
- simulated annealing
- computational intelligence
- evolutionary computation
- fuzzy numbers
- community structure
- recurrent neural networks
- evolutionary multiobjective
- control system
- ant colony optimization
- complex networks
- fuzzy neural
- fuzzy model
- hybrid genetic algorithm
- artificial bee colony
- fuzzy inference
- genetic programming
- genetic operators
- optimization problems
- training process
- social networks