首页> 外文会议>Natural Computation, 2009. ICNC '09 >Evolutionary Design of Combinational Logic Circuits Using an Improved Gene Expression-Based Clonal Selection Algorithm
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Evolutionary Design of Combinational Logic Circuits Using an Improved Gene Expression-Based Clonal Selection Algorithm

机译:基于改进的基于基因表达的克隆选择算法的组合逻辑电路进化设计

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In this paper, an improved gene expression-based clonal selection algorithm (IGE-CSA) is proposed, which is aimed at solving synthesis problems of combinational logic circuits. The encoding of gene expression programming (GEP) is improved. Compared with GEP encoding, the proposed encoding is more compact and fits to represent multi-output combinational logic circuit. Clonal selection algorithm (CSA) is applied as search engine of the proposed approach. The proposed method is applied into combinational logic circuit design successfully. Two kinds of combinational logic circuits are synthesized to verify the effectiveness of the proposed approach. The experimental results show that the proposed approach can automatically generate combinational logic circuits efficiently and effectively. Compared with other method, the obtained circuits by the proposed method are optimal.
机译:本文提出了一种改进的基于基因表达的克隆选择算法(IGE-CSA),旨在解决组合逻辑电路的综合问题。基因表达程序(GEP)的编码得到了改善。与GEP编码相比,所提出的编码更加紧凑,适合表示多输出组合逻辑电路。克隆选择算法(CSA)被用作该方法的搜索引擎。该方法成功地应用于组合逻辑电路设计中。合成了两种组合逻辑电路,以验证所提方法的有效性。实验结果表明,该方法能够有效,高效地自动生成组合逻辑电路。与其他方法相比,该方法获得的电路是最优的。

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