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2024 Vol. 29, #1 - Optimal Designs for Multi-Response Experiments
In developmental or operational testing there are usually multiple performance and quality metrics that are of interest in an experiment, but much of the research in designed experiments is focused on having only one response variable. This research provides a general solution to finding a test design for multiple responses that follow different distributions. In test and evaluation, the budget can be limiting due to high test costs. Sequential testing is also not often possible due to the complexity of the tests. Therefore, multi-objective optimization is needed to identify a designed experiment in these test environments.
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