Machine Learning for Evolution Strategies

1. Introduction
Oliver Kramer

Part I. Evolution Strategies

2. Evolution Strategies
Oliver Kramer

3. Covariance Matrix Estimation
Oliver Kramer

Part II. Machine Learning

4. Machine Learning
Oliver Kramer

5. Scikit-Learn
Oliver Kramer

Part III. Supervised Learning

6. Fitness Meta-Modeling
Oliver Kramer

7. Constraint Meta-Modeling
Oliver Kramer

Part IV. Unsupervised Learning

8. Dimensionality Reduction Optimization
Oliver Kramer

9. Solution Space Visualization
Oliver Kramer

10. Clustering-Based Niching
Oliver Kramer

Part V. Ending

11. Summary and Outlook
Oliver Kramer

Keywords: Engineering, Computational Intelligence, Simulation and Modeling, Data Mining and Knowledge Discovery, Socio- and Econophysics, Population and Evolutionary Models, Artificial Intelligence (incl. Robotics)