Part 1. Randomness in Optimization
1. Necessary Risk.
2. Random Number Generators (RNGS).
3. The Effects of Randomness.
Part 2. Optimizer Comparison
4. Algorithms and Optimizers.
5. Performance Criteria.
6. Comparing Optimizers.
Part 3. Appendices
7. Mathematical Notions.
8. Biases and Signatures.
9. A Pseudo-Scientific Article.
10. Common Mistakes.
11. Unnecessary Randomness? List-based Optimizers.
12. Problems.
13. Source Codes.