Multi-Objective Genetic Test Generation for Systems-on-Chip Hardware Verification
نویسندگان
چکیده
We propose a test generation method employing genetic evolutionary algorithms, and multi-objective optimising strategies that achieve Pareto optimality. The generated tests enable high coverage for the design under test and use low computational resources. The benefits of the technique are demonstrated by its application for system-on-chip verification.
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