Evolving decision-tree induction algorithms with a multi-objective hyper-heuristic.
Márcio P. BasgaluppRodrigo C. BarrosVili PodgorelecPublished in: SAC (2015)
Keyphrases
- multi objective
- induction algorithms
- hyper heuristics
- evolutionary algorithm
- decision trees
- evolutionary computation
- decision tree induction
- genetic programming
- examination timetabling
- multi objective optimization
- optimization algorithm
- fitness function
- classification rules
- simulated annealing
- optimization problems
- differential evolution
- multiple objectives
- inductive learning
- tree induction
- data sets
- particle swarm optimization
- timetabling problem
- nsga ii
- genetic algorithm
- constraint satisfaction problems
- naive bayes
- machine learning algorithms
- metaheuristic
- decision tree algorithm
- random forests
- rule induction algorithm
- machine learning
- feature selection
- random forest
- learning problems
- training data
- regression trees
- difficult problems
- training set
- ensemble methods
- logistic regression
- objective function
- learning algorithm
- lower bound
- search heuristics
- search space
- np hard
- heuristic methods
- memetic algorithm
- crossover operator
- decision rules
- heuristic search
- base classifiers