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Optimization of Designed Experiments Based on Multiple Criteria Utilizing a Pareto Frontier

Summary: This article discusses the adaptation of the Pareto front approach for consideration of multiple responses to design of experiments. The authors propose the Pareto Aggregating Point Exchange (PAPE) algorithm, a more efficient method of evaluating candidate designs by populating the Pareto frontier with all possible candidate designs. They establish the connection between their method and the Derringer-Suich desirability function and describe graphical methods allowing the exploration of the tradeoffs between criteria of the competing designs. Two examples illustrate the method.

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  • Topics: Design of Experiments
  • Keywords: Algorithm, Design of experiments (DOE), Desirability function, Misspecification, Modeling, Optimal design, Robust parameter design
  • Author: Lu, Lu; Anderson-Cook, Christine; Robinson, Timothy J.
  • Journal: Technometrics