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• W2897610418 abstract "In this paper the placement cost function in Field-Programmable Gate-Arrays (FPGAs) is investigated. It is found that the minimization of the traditional cost function does not ensure the minimization of the critical path. This opens an opportunity to investigate different cost functions. In the paper, it is shown that using the routing algorithm as a cost function improves the placement in the optimization of the final critical path. It is also found that using this new cost function, a genetic algorithm has advantages over the traditional simulated annealing method." @default.
• W2897610418 created "2018-10-26" @default.
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• W2897610418 date "2018-08-01" @default.
• W2897610418 modified "2023-09-23" @default.
• W2897610418 title "FPGA Placement Improvement Using a Genetic Algorithm and the Routing Algorithm as a Cost Function" @default.
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• W2897610418 doi "https://doi.org/10.1109/dsd.2018.00026" @default.
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