Labeled-GA with adaptive mutation rate.
Pitoyo HartonoShuji HashimotoMattias WahdePublished in: IEEE Congress on Evolutionary Computation (2004)
Keyphrases
- mutation rate
- population size
- crossover rate
- evolutionary algorithm
- genetic algorithm
- fitness function
- fitness landscape
- genetic algorithm ga
- population dynamics
- evolutionary computation
- simulated annealing
- multi objective
- genetic programming
- neural network
- search space
- learning rate
- fuzzy systems
- adaptive control
- parameter settings
- hybrid algorithm
- ant colony optimization
- multi agent
- optimization problems