Revisiting Bremermann's genetic algorithm. I. Simultaneous mutation of all parameters.
David B. FogelRussel W. AndersonPublished in: CEC (2000)
Keyphrases
- genetic algorithm
- evolutionary algorithm
- mutation rate
- population size
- fitness function
- mutation operator
- parameter optimization
- mutation probability
- neural network
- genetic operators
- genetic algorithm ga
- multi objective
- differential evolution
- maximum likelihood
- fuzzy logic
- sensitivity analysis
- search capabilities
- parameter values
- crossover operator
- parameter estimation
- artificial neural networks
- genetic search
- optimal parameters
- evolutionary computation
- particle swarm optimization
- optimization problems
- parameter settings
- hybrid algorithm
- optimization method
- evolutionary process
- evolutionary strategy
- crossover and mutation
- metaheuristic
- learning algorithm