Report on the Implementation of GASP Using Meta - Genetic Parameter Optimization
نویسنده
چکیده
The genetic technique for standard cell placement presented in [1] is a two-level, hierarchal random-search algorithm to find cell placements that have low routing cost. The lower level of the hierarchy consists of a genetic-based placement algorithm, taking a set of parameters and producing a locally optimal placement within the bounds of the parameters. The upper level is another genetic optimization process, but optimizes parameters given to the lower level, rather than placement configurations.
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