A genetic algorithm based on mutation and crossover with adaptive probabilities.
C. W. HoK. H. LeeK. S. LeungPublished in: CEC (1999)
Keyphrases
- genetic algorithm
- evolutionary algorithm
- genetic algorithm ga
- differential evolution
- immune clonal
- crossover operator
- mutation operator
- fitness function
- genetic programming
- function optimization problems
- selection strategy
- data driven
- multi objective
- parameter settings
- search algorithm
- optimization algorithm
- candidate solutions
- population size
- crossover and mutation
- mutation rate
- probability distribution
- learning algorithm