Does Crossover Probability Depend on Fitness and Hamming Differences in Genetic Algorithms?
José Luis Fernández-Villacañas MartínMónica Sierra SánchezPublished in: ICANN (2002)
Keyphrases
- genetic algorithm
- fitness function
- evolutionary algorithm
- population size
- genetic programming
- crossover and mutation
- fitness landscape
- simulated annealing
- neural network
- evolution process
- statistically significant
- fuzzy logic
- evolutionary process
- natural selection
- metaheuristic
- function optimization
- evolutionary computation
- genetic search
- genetic algorithm ga
- artificial neural networks
- optimization method
- multi objective
- artificial immune system
- mutation operator
- evolution strategy
- real time
- genetic operators
- data sets
- database
- memetic algorithm
- global search
- multi objective optimization
- parameter settings
- differential evolution
- population diversity
- tabu search
- particle swarm optimization
- adaptive parameter control