Adaptive probabilities of crossover and mutation in genetic algorithms based on clustering technique.
Jun ZhangHenry Shu-Hung ChungB. J. HuPublished in: IEEE Congress on Evolutionary Computation (2004)
Keyphrases
- crossover and mutation
- genetic algorithm
- genetic operators
- fitness function
- multi objective optimization
- mutation operator
- crossover and mutation operators
- genetic search
- genetic algorithm ga
- clustering method
- evolutionary algorithm
- clustering algorithm
- multi objective
- evolutionary computation
- fitness landscape
- premature convergence
- genetic programming
- initial population
- neural network
- differential evolution
- optimization method
- search algorithm
- particle swarm optimization algorithm
- particle swarm
- artificial neural networks
- particle swarm optimization