All Stories

  1. Multicriteria Optimization of Nanocellulose-Reinforced Polyvinyl Alcohol and Pyrrolidone Hydrogels
  2. Desirability-based post-hoc selection of Pareto solutions
  3. Assessing the resilience of optimal solutions in multiobjective problems
  4. Process and Product Optimization Using Game Theory
  5. Bi-Objective Optimization Problems—A Game Theory Perspective to Improve Process and Product
  6. Energy Efficiency Estimate in Complex and Large Equipments
  7. Energy-Efficiency Assessment and Improvement—Experiments and Analysis Methods
  8. Design of experiments – overcome hindrances and bad practices
  9. Worst-case Responses Estimate Impact on Pareto Front
  10. Reproducibility of nondominated solutions
  11. Responses’ Prediction Standard Error Analysis in Pareto Solutions
  12. Multiresponse problems: desirability and other optimization approaches
  13. Using a multiple response optimization approach to optimize the coefficient of performance
  14. Gaussian Process Model - An Exploratory Study in the Response Surface Methodology
  15. Applying design of experiments to a compression refrigeration cycle
  16. Simulation of real-life situations in multiresponse problems: a contribution to criteria evaluation in the RSM framework
  17. On the generation and selection of solutions to multiple response problems
  18. Exploring Pareto Frontiers in the Response Surface Methodology
  19. A comparative study of multiresponse optimization criteria working ability
  20. On the selection of significant variables from unreplicated factorial designs
  21. Responses modeling and optimization criteria impact on the optimization of multiple quality characteristics
  22. OPTIMIZATION OF THE MEAN AND STANDARD DEVIATION OF MULTIPLE RESPONSES
  23. Multiresponse Optimization and Pareto Frontiers
  24. Desirability function approach: A review and performance evaluation in adverse conditions
  25. Assessing Response’s Bias, Quality of Predictions, and Robustness in Multiresponse Problems
  26. Simultaneous Optimization of Mean and Standard Deviation
  27. Multiple response optimization: a global criterion‐based method
  28. Multiple response optimisation: methods and results
  29. Experimental design selection: guidelines for practitioners
  30. Computer experiments: application to the case of a recovery boiler
  31. Decision-Making in the Analysis of Unreplicated Factorial Designs
  32. Guidelines to help practitioners of design of experiments