Crossover and mutation operators for grammar-guided genetic programming.
Jorge CouchetDaniel ManriqueJuan RiosAlfonso Rodríguez-PatónPublished in: Soft Comput. (2007)
Keyphrases
- grammar guided genetic programming
- crossover and mutation operators
- genetic programming
- fitness function
- genetic algorithm ga
- binary representation
- genetic algorithm
- multi objective
- crossover operator
- crossover and mutation
- evolutionary algorithm
- estimation of distribution algorithms
- mutation operator
- evolutionary computation
- multi objective evolutionary algorithms
- genetic operators
- multi objective optimization
- genetic search
- differential evolution
- particle swarm optimization pso
- particle swarm
- optimization algorithm
- particle swarm optimization
- simulated annealing
- lower bound
- optimization method
- premature convergence
- optimization problems
- computational intelligence
- fuzzy logic
- decision making