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Home → Techniques and Tips → Evolver and RISKOptimizer

14. Evolver and RISKOptimizer

• 14.1. For Faster Optimizations
• 14.2. Multiple Goals for Optimization
• 14.3. Efficient Frontier Analysis
• 14.4. Efficient Surface
• 14.5. "Value" Choice for Optimization Target
• 14.6. Limited Number of Adjustable Cells?
• 14.7. Running RISKOptimizer Deterministically
• 14.8. Choosing Evolver versus RISKOptimizer
• 14.9. Random Number Seed in RISKOptimizer
• 14.10. Percentile Constraints and Target Constraints
• 14.11. Preventing Duplicates in Adjustable Cells
• 14.12. Adjustable Cell Matrix of Ones and Zeroes
• 14.13. Logging Non-Variable Cells
• 14.14. Interrupting and Resuming an Optimization
• 14.15. Iteration Data in RISKOptimizer
• 14.16. Branch Bounding and Cut
• 14.17. Starting Values of Adjustable Cells
• 14.18. Large Models in Evolver and RISKOptimizer
• 14.19. Linear Programming in Evolver
• 14.20. Did My Optimization Use OptQuest or the Genetic Algorithm?
• 14.21. Technical Details of Genetic Algorithm
• 14.22. Technical Details of OptQuest
• 14.23. Evolver and Solver Compared
• 14.24. Clearing RISKOptimizer Settings without Clearing @RISK Settings
• 14.25. Debugging RISKOptimizer and Evolver Models