Multiobjective genetic programming for maximizing ROC performance.
Pu WangKe TangThomas WeiseEdward P. K. TsangXin YaoPublished in: Neurocomputing (2014)
Keyphrases
- genetic programming
- multi objective
- evolutionary algorithm
- grammar guided genetic programming
- genetic algorithm
- fitness function
- optimization algorithm
- multiobjective optimization
- multi objective optimization
- evolutionary computation
- receiver operating characteristic
- multiple objectives
- particle swarm optimization
- symbolic regression
- gene expression programming
- objective function
- optimization problems
- financial forecasting
- nsga ii
- bi objective
- regression problems
- simulated annealing
- conflicting objectives
- precision recall
- multi objective evolutionary algorithms
- multiobjective genetic algorithm
- roc curve
- genetic operators
- differential evolution
- neural network
- data sets
- cross entropy
- trade off
- multiobjective evolutionary algorithms
- search algorithm
- pareto optimal
- genetic algorithm ga
- artificial bee colony
- open source
- search space
- artificial neural networks
- multi objective problems