Description
Multi-Criteria Design of Experiments for Optimal Design.
Description
Multi-criteria design of experiments algorithm that simultaneously optimizes up to six different criteria ('I', 'Id', 'D', 'Ds', 'A' and 'As'). The algorithm finds the optimal Pareto front and, if requested, selects a possible symmetrical design on it. The symmetrical design is selected based on two techniques: minimum distance with the Utopia point or the 'TOPSIS' approach.
README.md
multiDoE
Multi-criteria design of experiments algorithm that simultaneously optimizes up to six different criteria (I, Id, D, Ds, A and As). The algorithm finds the optimal Pareto front and, if requested, selects a possible symmetrical design on it. The symmetrical design is selected based on two techniques: minimum distance with the Utopia point or the TOPSIS approach.
Installation
You can install the released version of multiDoE from CRAN with:
install.packages("multiDoE")
Example
See the vignette.