Adaptive crossover and mutation in genetic algorithms based on clustering technique.
Jun ZhangHenry Shu-Hung ChungJinghui ZhongPublished in: GECCO (2005)
Keyphrases
- crossover and mutation
- genetic algorithm
- genetic operators
- fitness function
- multi objective optimization
- evolutionary algorithm
- mutation operator
- crossover and mutation operators
- genetic search
- clustering algorithm
- genetic algorithm ga
- clustering method
- fitness landscape
- initial population
- evolutionary computation
- multi objective
- simulated annealing
- premature convergence
- neural network
- genetic programming
- fuzzy logic
- mutation probability
- crossover operator
- optimization method
- convergence rate
- hybrid algorithm
- ant colony optimization
- metaheuristic
- computational intelligence
- artificial neural networks