Using a genetic algorithm to generate D‐optimal designs for mixture‐process variable experiments
Author:
Affiliation:
1. Department of Statistics, Faculty of Science Kasetsart University Bangkok Thailand
2. Department of Mathematical Sciences Montana State University Bozeman Montana
Publisher
Wiley
Subject
Management Science and Operations Research,Safety, Risk, Reliability and Quality
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/qre.2549
Reference27 articles.
1. Using Genetic Algorithms to Generate Mixture-Process Experimental Designs Involving Control and Noise Variables
2. Optimal Designs for Mixture-Process Experiments Involving Continuous and Categorical Noise Variables
3. Experiments with Mixtures
4. Experimental Design for Formulation
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