Hybridization of Cartesian Genetic Programming and Differential Evolution for Generating Classifiers Based on Neural Networks.
Johnathan M. Melo NetoHeder S. BernardinoHelio J. C. BarbosaPublished in: CEC (2018)
Keyphrases
- differential evolution
- genetic programming
- evolutionary algorithm
- neural network
- genetic algorithm
- hybrid algorithm
- fitness function
- evolutionary computation
- test functions
- differential evolution algorithm
- multi objective
- optimization algorithm
- convergence speed
- particle swarm optimization
- mutation operator
- premature convergence
- optimization method
- training data
- numerical optimization problems
- evolution strategy
- constrained optimization problems
- particle swarm optimization pso
- real coded
- fuzzy logic
- artificial neural networks
- optimization problems
- power flow
- function optimization problems
- back propagation
- feature selection
- multi objective optimization
- evolutionary strategy
- simulated annealing
- particle swarm
- global optimization problems
- crossover operator
- support vector
- solving global optimization problems
- nsga ii
- direct search
- harmony search
- function optimization
- parameter optimization
- artificial bee colony
- evolutionary programming
- genetic algorithm ga
- training set
- global optimization
- computational intelligence