| 应用遗传算法进行低功耗状态编码 |
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| 引用本文： | 朱宁,周润德,羊性滋.应用遗传算法进行低功耗状态编码[J].电子学报,2000,28(8):124-126. |
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| 作者姓名： | 朱宁 周润德 羊性滋 |
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| 作者单位： | 清华大学微电子所,北京 100084 |
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| 基金项目： | 国家自然科学重大项目基金!(No .59995550 ) |
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| 摘 要： | 本文研究了用遗传算法进行有限状态机(FSM)的低功耗状态编码问题.基于FSM的概率模型,对编码空间进行并行搜索;通过在适应性度量中引入面积和状态翻转信息,实现了面积和功耗之间的折衷.对一些FSM的实际测试表明此方法平均能达到20%的功耗优化.
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| 关 键 词： | 遗传算法 有限状态机 低功耗 编码 适应性 |
| 收稿时间： | 1999-02-04 |
Low-power State Encoding Using Genetic Algorithm |
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| ZHU Ning,ZHOU Run-de,YANG Xing-zi.Low-power State Encoding Using Genetic Algorithm[J].Acta Electronica Sinica,2000,28(8):124-126. |
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| Authors: | ZHU Ning ZHOU Run-de YANG Xing-zi |
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| Affiliation: | Institute of Microelectronics,Tsinghua University,Beijing 100084,China |
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| Abstract: | This paper discusses about low-power state encoding of finite state machines(FSM's) using genetic algorithm(GA).Based upon the probabilistic model of FSM's,GA based parallel searching is implemented in the encoding space.Moreover,area and state transition information may be both included in the 'fitness’ measurement to realize some trade-off between area and power.The test results for some FSM's show that this approach may lead to 20% power reduction. |
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| Keywords: | genetic algorithm finite state machine low-power encoding fitness |
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