Evolutionary algorithms based on machine learning accelerate mathematical function optimization but not neural net evolution.
Sree Harsha AletiHugo de GarisPublished in: IEEE Congress on Evolutionary Computation (2004)
Keyphrases
- function optimization
- evolutionary algorithm
- neural nets
- machine learning
- learning tasks
- multi objective
- optimization problems
- feed forward
- mutation operator
- clonal selection algorithm
- differential evolution
- multi objective optimization
- crossover operator
- neural network
- simulated annealing
- fitness function
- genetic programming
- learning algorithm
- learning problems
- genetic algorithm
- back propagation
- counter propagation
- artificial neural networks
- machine learning algorithms
- text classification
- computational intelligence
- supervised learning
- support vector machine
- active learning
- decision trees
- artificial intelligence
- text mining
- prior knowledge
- semi supervised learning
- transfer learning
- training data
- data mining