Machine learning for evolution strategies
This book introduces numerous algorithmic hybridizations between both worlds that show how machine learning can improve and support evolution strategies. The set of methods comprises covariance matrix estimation, meta-modeling of fitness and constraint functions, dimensionality reduction for search...
| Main Author: | Kramer, Oliver, |
|---|---|
| Other Authors: | SpringerLink (Online service) |
| Format: | eBook |
| Language: | English |
| Published: |
Switzerland :
Springer,
2016.
|
| Physical Description: |
1 online resource (ix, 124 pages) : color illustrations. |
| Series: |
Studies in big data ;
v. 20. |
| Subjects: |
CMU Electronic Access
Electronic Resource Click Here| Location | Call Number: | Status |
|---|---|---|
| CMU Electronic Access | Available |