Description: The proposed approach is based on three stages which (1) use neural networks for constructing a response
function model of a dynamic multiresponse system, (2) use exponential desirability functions for evaluating
overall performance of a specific factor combination, and (3) use a genetic algorithm to optimize
parameter design. Effectiveness of the proposed approach is illustrated with a simulated example. Analysis
results reveal that the approach has higher performance than the traditional experimental design.
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