Using algorithm configuration tools to optimize genetic programming parameters: a case study.
Nicholas Freitag McPheeThomas HelmuthLee SpectorPublished in: GECCO (Companion) (2017)
Keyphrases
- genetic programming
- computational complexity
- dynamic programming
- detection algorithm
- times faster
- k means
- experimental evaluation
- worst case
- theoretical analysis
- expectation maximization
- input data
- cost function
- optimization algorithm
- segmentation algorithm
- simulated annealing
- high accuracy
- significant improvement
- recognition algorithm
- parameter tuning
- objective function
- gene expression programming
- parameter settings
- matching algorithm
- levenberg marquardt
- initial estimates
- particle swarm optimization
- search space
- learning algorithm
- parameter estimation
- computationally efficient
- clustering method
- fitness function
- tree structure
- classification algorithm
- mobile robot
- convergence rate
- support vector
- data structure
- feature selection
- neural network