Combining Lipschitz and RBF surrogate models for high-dimensional computationally expensive problems.
Jakub KudelaRadomil MatousekPublished in: Inf. Sci. (2023)
Keyphrases
- computationally expensive
- high dimensional
- computationally efficient
- iterative methods
- artificial neural networks
- high dimensionality
- radial basis function
- neural network
- state space
- high dimensions
- problems involving
- solving problems
- basis functions
- inverse problems
- brute force
- optimization problems
- simulated annealing
- lower bound
- similarity measure