A Novel Fitness Function in Genetic Algorithms to Optimize Neural Networks for Imbalanced Data Sets.
Kuan-Chieh HuangYau-Hwang KuoI-Cheng YehPublished in: ISDA (2) (2008)
Keyphrases
- fitness function
- genetic algorithm
- imbalanced data sets
- neural network
- genetic algorithm ga
- evolutionary algorithm
- genetic programming
- genetic operators
- evolutionary computation
- fuzzy logic
- imbalanced data
- crossover operator
- benchmark data sets
- simulated annealing
- concept learning
- class imbalance
- class distribution
- rare events
- data generation
- evolutionary search
- artificial neural networks
- fitness evaluation
- multi objective
- data sets
- optimization method
- crossover and mutation
- roc curve
- differential evolution
- particle swarm optimization
- initial population
- genetic algorithm is employed
- mutation operator