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A fuzzy mean field approach for partitioning and placement

机译:一种模糊均值场划分与布局方法

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A new strategy taken from statistical and nuclear physics enables a qualitative and macroscopic approach to combinatorial optimization. For this purpose the mean field approximation is interpreted in a fuzzy manner and the strategy is tested at some NP complete layout problems. The described applications concerning graph partitioning, linear ordering and two dimensional assignment show performance comparable with simulated annealing, but much faster. Especially a new fuzzy net model can treat hypergraphs without splitting multi pin nets into two point nets.
机译:从统计和核物理学中采取的新策略使定性和宏观方法可以进行组合优化。为此,以模糊方式解释平均场近似,并在一些NP完整布局问题上对该策略进行了测试。所描述的涉及图形划分,线性排序和二维分配的应用程序显示了与模拟退火相当的性能,但速度更快。尤其是新的模糊网模型可以处理超图,而无需将多针网划分为两点网。

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