Improving Convergence in Cartesian Genetic Programming Using Adaptive Crossover, Mutation and Selection.
Roman KalkreuthGünter RudolphJörg KronePublished in: SSCI (2015)
Keyphrases
- genetic programming
- fitness function
- evolutionary algorithm
- genetic algorithm
- crossover and mutation
- fitness evaluation
- evolutionary computation
- immune clonal
- genetic algorithm ga
- selection strategy
- crossover operator
- gene expression programming
- population diversity
- grammar guided genetic programming
- regression problems
- symbolic regression
- differential evolution
- financial forecasting
- mutation operator
- genetic operators
- mutation probability
- genetic search
- candidate solutions
- multi objective evolutionary algorithms
- evolutionary process
- optimization problems
- convergence speed
- multi objective optimization
- multi objective
- neural network
- evolution process
- population size
- artificial neural networks
- iterative algorithms
- learning algorithm