Improving NeuroEvolution Efficiency by Surrogate Model-based Optimization with Phenotypic Distance Kernels.
Jörg StorkMartin ZaeffererThomas Bartz-BeielsteinPublished in: CoRR (2019)
Keyphrases
- machine learning
- optimization problems
- artificial neural networks
- optimization algorithm
- distance measure
- distance function
- computational efficiency
- optimization method
- optimization model
- multiple kernel learning
- data sets
- gaussian processes
- high efficiency
- optimization process
- global optimization
- linear combination
- high dimensional
- neural network