| 摘要 |
The present approach models a process as a series of steps corresponding to sets of inputs and outputs, where the inputs relates to various configurations of elements for a given step of the process. For each step in the process, one or more models are constructed that correspond to the possible parameters and samples associated with specific stages of the process. Sampling is performed to generate raw data for the models. Experimentation is performed on a significant scale to identify a set of configurations setting that should be retained for a subsequent step of the process. The selection of configuration setting for each stage of the process is not intended to prune parametric options from the process. Instead, reductions are performed which both preserve uniform and reasonably maximal coverage of data over the intended design space, while at the same time selecting configurations that achieve the desired results. In this way, the invention preserves all reasonable parametric options through all stages of the design process while also working towards an optimal solution.
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