All Stories

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