20 results on '"Greiner D"'
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2. Multi-Objective Optimal Design and Maintenance for Systems Based on Calendar Times Using MOEA/D-DE
3. What Do Statisticians Really Need to Know, and When Do They Need to Know It?
4. From Medical Experimentation to Non-Medical Experimentation
5. List of Contributors
6. A Study of Nash-Evolutionary Algorithms for Reconstruction Inverse Problems in Structural Engineering
7. The Role of Artificial Neural Networks in Evolutionary Optimisation: A Review
8. Humanized SCID Mouse Models for Biomedical Research
9. New Evolutionary Methodologies for Integrated Safety System Design and Maintenance Optimization
10. Solving economic and environmental optimal control in dumping of sewage with a flexible and parallel evolutionary computation
11. Searching for an efficient method in multiobjective frame optimisation using evolutionary algorithms
12. Pretargeting: Improved Pharmacokinetics and Therapeutic Ratio
13. Chapter 11 - What Do Statisticians Really Need to Know, and When Do They Need to Know It?
14. Rat Immunoglobulin Genes have Comparable Patterns of JH Rearrangement in Normal Peripheral B Cells and In Pre-B And Cultured TdT+ Cells from Bone Marrow
15. A Comparative Analysis of “Controlled Elitism” in the NSGA-II Applied to Frame Optimization
16. A Study of Nash-Evolutionary Algorithms for Reconstruction Inverse Problems in Structural Engineering.
17. The Role of Artificial Neural Networks in Evolutionary Optimisation: A Review.
18. Humanized SCID Mouse Models for Biomedical Research.
19. New Evolutionary Methodologies for Integrated Safety System Design and Maintenance Optimization.
20. Parallel evolutionary computation for solving complex CFD optimization problems: A review and some nozzle applications
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