Comparing neural networks and Kriging for fitness approximation in evolutionary optimization.
Lars WillmesThomas BäckYaochu JinBernhard SendhoffPublished in: IEEE Congress on Evolutionary Computation (2003)
Keyphrases
- evolutionary optimization
- genetic algorithm
- neural network
- multi objective
- evolutionary algorithm
- genetic optimization
- fitness function
- constraint handling
- structural design
- artificial neural networks
- pattern recognition
- black box
- fuzzy logic
- genetic algorithm ga
- approximation error
- learning algorithm
- radial basis function
- fuzzy modeling
- approximation algorithms
- neural nets
- fitness landscape
- closed form
- neural network model
- error bounds
- evolutionary process
- differential evolution
- back propagation
- particle swarm optimization
- artificial intelligence
- machine learning