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- W1521955847 abstract "Circuit bipartitioning is an NP-hard combinatorial optimization problem in the layout synthesis of VLSI circuits, where we wish to find a partition of the circuit elements into two blocks such that the number of signal nets crossing the partition boundary is minimized. We have developed and experimented with several competitive learning neural network algorithms to solve this problem. The algorithms were tested on randomly generated circuits as well as several popular benchmark circuits. The stochastic reward and punishment neural network produced the best results which were comparable to those found by the Ratio Cut algorithm of Wei and Cheng. >" @default.
- W1521955847 created "2016-06-24" @default.
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- W1521955847 date "2002-12-17" @default.
- W1521955847 modified "2023-09-27" @default.
- W1521955847 title "A stochastic reward and punishment neural network algorithm for circuit bipartitioning" @default.
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- W1521955847 doi "https://doi.org/10.1109/iscas.1994.408785" @default.
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