27 / 2017-01-10 20:23:23
A research on NoC mapping with quantum ant colony algorithm
networks on chip;low power;quantum ant algorithm;quantum rotation gate;adaptive phase
终稿
永红 谢 / 广东工业大学
Alongwith the development of the Networks on Chip,achieving the low power consumption of bandwidth and delay has become one of the most popular design.In this paper,we presented a Quantum Ant Colony Algorithm (QACA) strategy to solve the problem on Networks on Chip.This QACA algorithm used quantum bit to replace the ant colony pheromone.We made the pheromone update dynamically to reduce the premature convergence of the ant colony algorithm effectively,which is based on the adaptive phase rotation strategy.Experimental results show that the algorithm proposed in this paper is better than the ant colony algorithm at the ability of search capability and the global optimization.
重要日期
  • 会议日期

    02月16日

    2017

    02月18日

    2017

  • 01月20日 2017

    初稿截稿日期

  • 01月30日 2017

    初稿录用通知日期

  • 02月10日 2017

    终稿截稿日期

  • 02月18日 2017

    注册截止日期

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