FPGA placement using genetic algorithm with simulated annealing

@article{Yang2005FPGAPU,
  title={FPGA placement using genetic algorithm with simulated annealing},
  author={Meng Yang and A. Almaini and Lung-Jen Wang and Pengjun Wang},
  journal={2005 6th International Conference on ASIC},
  year={2005},
  volume={2},
  pages={806-810}
}
A mixed genetic algorithm and simulated annealing (GASA) algorithm is used for the placement of symmetrical FPGA. The proposed algorithm includes 2 stage processes. In the first stage process it optimizes placement solutions globally using GA. In the second stage process it locally improves solution. GASA overcomes the slow convergence of genetic algorithm in the late phase of the process of genetic algorithm. The results show that GASA consumes less CPU time than GA and could achieve… CONTINUE READING

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