Efficient GA Approach Combined with Taguchi Method for Mixed Constrained Circuit Design

Yiwen Su, Zhiguo Bao, Fangfang Wang, Takahiro Watanabe
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引用次数: 4

Abstract

This paper proposes a new circuit design optimization method where Genetic Algorithm (GA) with parameterized uniform crossover (GApuc) is combined with Taguchi method. The purposed are (a) using Taguchi method to search for optimal fitness value and (b) evaluating the power and signal delay of logic blocks in circuit design to get an optimum circuit in complexity, power and signal delay. The present study enhances the previous results by providing a much more detailed examination of mixed constrained circuit design. Experimental results show that our proposed approach can produce a good circuit in both fitness function and CPU time.
结合田口法的高效遗传算法混合约束电路设计
提出了一种将参数化均匀交叉遗传算法(GA)与田口法相结合的电路设计优化方法。目的是(a)利用田口法搜索最优适应度值(b)在电路设计中评估逻辑块的功率和信号延迟,以获得复杂度、功率和信号延迟的最优电路。本研究通过提供对混合约束电路设计的更详细的检查来增强先前的结果。实验结果表明,该方法在适应度函数和CPU时间上都能得到较好的电路。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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