Fuzzy adaptation of crossover and mutation rates in genetic algorithms based on population performance.
Marco VannucciValentina CollaPublished in: J. Intell. Fuzzy Syst. (2015)
Keyphrases
- crossover and mutation
- genetic algorithm
- genetic operators
- mutation operator
- fitness function
- initial population
- fuzzy logic
- multi objective optimization
- evolutionary algorithm
- crossover and mutation operators
- genetic search
- premature convergence
- genetic algorithm ga
- fitness landscape
- fuzzy sets
- mutation probability
- genetic programming
- differential evolution
- population size
- fuzzy measures
- crossover operator
- membership functions
- hybrid algorithm
- multi objective
- fuzzy rules
- fuzzy numbers
- fuzzy controller
- evolutionary computation
- differential evolution algorithm
- convergence rate
- neural network
- global search
- simulated annealing
- solution space
- artificial neural networks