On the Success Rate of Crossover Operators for Genetic Programming with Offspring Selection.
Gabriel KronbergerStephan M. WinklerMichael AffenzellerAndreas BehamStefan WagnerPublished in: CoRR (2013)
Keyphrases
- success rate
- crossover operator
- genetic programming
- fitness function
- evolutionary algorithm
- crossover and mutation
- mutation operator
- genetic algorithm ga
- genetic algorithm
- fitness evaluation
- selection strategy
- evolutionary computation
- memetic algorithm
- selection operator
- genetic operators
- differential evolution
- symbolic regression
- population diversity
- gene expression programming
- traveling salesman problem
- explore the search space
- evolutionary approaches
- multi objective
- real coded genetic algorithms
- initial population
- premature convergence
- penalty function
- optimization algorithm
- simulated annealing
- grammar guided genetic programming
- hyper heuristics
- upper bound
- search space