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| POWER OPTIMIZATION OF FINITE STATE MACHINE BASED ON GENETIC ALGORITHM | |
| 作者姓名： | XiaYinshui A.E.A.Almaini WuXunwei |
| 作者单位： | [1]SchoolofEngineering,NapierUniveristy,Edinburgh,EH105DT,U.K. [2]InstituteofCircuitsandSystems,NingboUniversity,Ningbo315211 |
| 基金项目： | Supported by NNSF of China(Key International Cooperative Project No.60010121219) |
| 摘 要： | Using state assignment to minimize power dissipation and area for finite state machines is computationally hard.Most of published results show that the reduction of switching activity often trades with area penalty.In this paper,a new approach is proposed.Experimental results show a significant reduction of switching activity without area penalty compared with previous publications. |
| 关 键 词： | 遗传算法 有限态机器 状态分配 功率消耗 超大规模集成电路 |
| 收稿时间： | 14 August 2001 |
Power optimization of finite state machine based on genetic algorithm |
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| XiaYinshui A.E.A.Almaini WuXunwei.POWER OPTIMIZATION OF FINITE STATE MACHINE BASED ON GENETIC ALGORITHM[J].Journal of Electronics,2003,20(3):194-201. | |
| Authors: | Xia Yinshui A E A Almaini Wu Xunwei |
| Institution: | 1. School of Engineering, Napier University, Edinburgh,EHi0 5DT, U.K.;Institute of Circuits and Systems, Ningbo University, Ningbo 315211 2. School of Engineering, Napier University, Edinburgh,EHi0 5DT, U.K. 3. Institute of Circuits and Systems, Ningbo University, Ningbo 315211 |
| Abstract: | Using state assignment to minimize power dissipation and area for finite state machines is computationally hard. Most of published results show that the reduction of switching activity often trades with area penalty. In this paper, a new approach is proposed. Experimental results show a significant reduction of switching activity without area penalty compared with previous publications. |
| Keywords: | Finite state machine State assignment Power dissipation Area Genetic algorithm Optimization |
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