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Floorplanning with I/O Assignment via Feasibility-Seeking and Superiorization Methods.

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National Key Laboratory for Multimedia Information Processing, School of Computer Science, Peking University, Beijing, China. Dr. Luo is also with the Center for Energy-efficient Computing and Applications, Peking University, Beijing, China.

The feasibility-seeking approach offers a systematic framework for managing and resolving intricate constraints in continuous problems, making it a promising avenue to explore in the context of floorplanning problems with increasingly heterogeneous constraints. The classic legality constraints can be expressed as the union of convex sets. However, conventional projection-based algorithms for feasibility-seeking do not guarantee convergence in such situations, which are also heavily influenced by the initialization.

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