1. Brief Introduction to Evolutionary Algorithms.- 1. From Biology to Software.- 2. Basic Evolutionary Algorithm.- 3. Further Aspects.- I Enabling Continuous Adaptation.- 2. Optimization in Dynamic Environments.- 3. Survey: State of the Art.- 4. From Memory to Self-Organization.- 5. Empirical Evaluation.- 6. Summary of Part 1.- II Considering Adaptation Cost.- 7. Adaptation cost vs. Solution quality.- III Robustness and Flexibility — Precaution against Changes.- 8. Searching for Robust Solutions.- 9. From Robustness to Flexibility.- 10. Summary and Outlook.- References.