Learning as Applied to Stochastic Optimization for Standard-Cell Placement.

Provides information on a study which analyzed the application of stochastic combinatorial optimization techniques for the design automation of standard-cell placement. Details on statistical learning techniques such as simulated annealing and regression; Optimization and learning-based approach of cell-based layout; Methodology and discussion.