The Effect of Extensive Use of the Mutation Operator on Generalization in Genetic Programming Using Sparse Data Sets.
Wolfgang BanzhafFrank D. FranconePeter NordinPublished in: PPSN (1996)
Keyphrases
- genetic programming
- mutation operator
- evolutionary algorithm
- fitness function
- data sets
- genetic algorithm
- crossover operator
- differential evolution
- premature convergence
- evolutionary computation
- evolutionary programming
- genetic operators
- multi objective
- search direction
- symbolic regression
- function optimization
- genetic algorithm ga
- convergence rate
- crossover and mutation
- nsga ii
- optimization problems
- simulated annealing
- genetic search
- multi objective optimization
- crossover and mutation operators
- grammar guided genetic programming
- high dimensional
- computationally efficient
- evolution strategy
- gene expression programming
- step size
- constraint satisfaction problems
- particle swarm optimization
- neural network