Semantically driven mutation in genetic programming.
Lawrence BeadleColin G. JohnsonPublished in: IEEE Congress on Evolutionary Computation (2009)
Keyphrases
- genetic programming
- fitness function
- evolutionary algorithm
- genetic algorithm
- evolutionary computation
- genetic algorithm ga
- symbolic regression
- genetic operators
- differential evolution
- multi objective
- gene expression programming
- crossover operator
- optimization problems
- regression problems
- classification rules
- financial forecasting
- grammar guided genetic programming
- learning algorithm
- data driven
- neural network
- crossover and mutation
- evolutionary process
- case study
- open source
- grammatical evolution
- semantic information
- mutation operator
- fuzzy logic
- high level
- multi objective evolutionary algorithms
- population size
- hyper heuristics
- search engine
- multi objective optimization