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Design of experiments (DOE) is an important problem for ensuring the quality of EDA with applications to the evaluation of techniques and tools in all sub-fields of EDA, e.g., yield and variability optimization, error correcting codes, and software testing. DOE can be formulated as a quasigroup completion problem (QCP). We propose and compare 23 heuristics for efficient solving of QCPs by translation...
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