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- W2065532985 abstract "Abstract A genetic algorithm (GA) is applied to minimize ordered Kronecker functional decision diagrams (OKFDDs), i.e. a graph-based representation of Boolean functions. OKFDDs are then used to derive circuits by substituting the nodes in the graph. The GA is first used to minimize the size of OKFDDs by choosing a good variable ordering and decomposition type list in parallel. Various GA parameters are studied, including population size and several genetic operators. Then the GA is used for the construction of OKFDD circuits that dependent on the chosen parameters trade off area efficiency versus testability. It is shown by experiments that the algorithm outperforms the best previously published heuristic approach. Finally, we apply our minimization algorithm to technology mapping for FPGAs. Also for this application experimental results are given to show the efficiency of our approach." @default.
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- W2065532985 date "1999-01-01" @default.
- W2065532985 modified "2023-09-27" @default.
- W2065532985 title "OKFDD minimization by genetic algorithms with application to circuit design" @default.
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- W2065532985 doi "https://doi.org/10.1016/s0167-9260(99)00017-6" @default.
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