Accelerating convergence in cartesian genetic programming by using a new genetic operator.
Andreas MeierMark GonterRudolf KrusePublished in: GECCO (2013)
Keyphrases
- genetic programming
- genetic operators
- fitness function
- evolutionary algorithm
- evolutionary approaches
- evolutionary computation
- genetic algorithm
- genetic search
- population diversity
- symbolic regression
- genetic algorithm ga
- crossover operator
- crossover and mutation
- mutation operator
- multi objective evolutionary algorithms
- gene expression programming
- multi objective
- grammar guided genetic programming
- convergence rate
- financial forecasting
- iterative algorithms
- evolution strategy
- convergence speed
- regression problems
- multi objective optimization
- nsga ii
- differential evolution
- coevolutionary algorithm
- simulated annealing
- polar coordinates