On the Success Rate of Crossover Operators for Genetic Programming with Offspring Selection.
Gabriel KronbergerStephan M. WinklerMichael AffenzellerAndreas BehamStefan WagnerPublished in: EUROCAST (2009)
Keyphrases
- success rate
- crossover operator
- genetic programming
- fitness function
- evolutionary algorithm
- mutation operator
- crossover and mutation
- fitness evaluation
- genetic algorithm
- genetic algorithm ga
- genetic operators
- evolutionary computation
- selection strategy
- memetic algorithm
- selection operator
- differential evolution
- symbolic regression
- population diversity
- real coded genetic algorithms
- gene expression programming
- financial forecasting
- explore the search space
- multi objective
- optimization problems
- hyper heuristics
- grammar guided genetic programming
- traveling salesman problem
- simulated annealing
- particle swarm
- evolutionary approaches
- neural network
- selection algorithm
- evolutionary strategy
- initial population
- evolution strategy
- constraint satisfaction
- nsga ii