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- W1987275184 abstract "This paper presents a hybrid technique for macrocell placement optimization. The presented technique integrates the probabilistic hill-climbing feature of simulated annealing with the (deterministic) cluster-boundary search algorithm in order to minimize the likelihood of local optimal solutions. It optimizes the placement as well as orientation of macrocells and produces overlap-free designs satisfying constraints on interconnect length bounds. The technique is computationally efficient and can generate high-quality solutions for large-sized placement problems. Test results for placement optimization problems involving up to 100 macrocells are presented and analyzed to determine the effectiveness of the presented hybrid technique." @default.
- W1987275184 created "2016-06-24" @default.
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- W1987275184 date "2010-05-01" @default.
- W1987275184 modified "2023-10-01" @default.
- W1987275184 title "Application of simulated annealing to cluster-boundary search algorithm for macrocell placement optimization" @default.
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- W1987275184 doi "https://doi.org/10.1109/iccce.2010.5556748" @default.
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