Cartesian Genetic Programming Approach for Embryonic Fabric Architecture

被引：0

作者：

Malhotra, Gayatri ^{[1
]}

机构：

[1] ISRO Satellite Ctr, Control & Digital Elect Grp, Bangalore, Karnataka, India

来源：

PROCEEDINGS OF THE 6TH INTERNATIONAL CONFERENCE ON INFORMATION COMMUNICATION AND MANAGEMENT (ICICM 2016) | 2016年

关键词：

CGP; evolutionary algorithm; embryonic; embryonicfabric;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The Cartesian genetic programming (CGP) considers grid of nodes to represent a genotype. In the corresponding phenotype each node represents a processing element. The processing element has similar structure as of smallest embryonic fabric element. It can be an embryonic molecule where allmolecules combine and create an embryonic cell equivalent to a circuit. The evolutionary algorithm applied to genotypes select the fittest. The evaluated genotype determines the configurationdata for embryonic cell. The configuration data generation is automated with this approach. As well this can lead to optimizedembryonic fabric structure if optimization by evolutionary algorithmis utilized. In this paper the CGP approach is applied togenerate configuration data for embryonic fabric. The approachis simulated for 1-bit adder circuit.

引用

页码：285 / 290

页数：6

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