All Stories

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