Impact of static and adaptive mutation techniques on the performance of Genetic Algorithm.
B. R. RajakumarPublished in: Int. J. Hybrid Intell. Syst. (2013)
Keyphrases
- adaptive mutation
- genetic algorithm
- control parameters
- premature convergence
- evolutionary algorithm
- mutation operator
- fitness function
- differential evolution
- evolutionary computation
- neural network
- simulated annealing
- fuzzy logic
- multi objective
- genetic algorithm ga
- multi objective optimization
- global search
- particle swarm
- crossover and mutation
- genetic programming
- optimization methods
- evolution strategy
- population size
- search algorithm