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Efficient design validation based on cultural algorithms
2008
Proceedings of the conference on Design, automation and test in Europe - DATE '08
We introduce a new semi-formal design validation framework to justify hard-to-reach corner-case states. We propose a cultural learning technique to identify the swarming of domain knowledge during the search. In addition, our guidance strategy abstracts sets of partitioned state variables, from which pre-images are computed to capture the expanded portions of the state spaces related to a target state. Experimental results show that our approach is very effective to reach hardto-reach states than existing methods.
doi:10.1145/1403375.1403473
fatcat:wcwphznevjc4jltthvvkyehp4y