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Optimally matched current mirror layout pattern generation using genetic optimization

机译：使用遗传优化生成最佳匹配的电流镜布局图

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摘要

This paper introduces an automatic current mirror layout generation tool for any number of transistors and for arbitrary integer current ratios. The paper uses an adapted form of genetic optimization to minimize the overall systematic mismatch due to oxide gradients. Results show that very low mismatches are obtained in a few seconds for moderate sized arrays.

机译：本文介绍了一种适用于任意数量的晶体管和任意整数电流比的自动电流镜布局生成工具。本文使用遗传优化的一种适应形式，以最大程度地减少由于氧化物梯度导致的整体系统失配。结果表明，中等大小的阵列可在几秒钟内获得极低的失配。

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《》|2016年|145-148|共4页
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Islam Nashaat Salah El Din; Mohamed Dessouky; Hazem Said;
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关键词
Mirrors; Layout; Sociology; Statistics; Modeling; Systematics; Mathematical model;

机译：镜子;布局;社会学;统计;建模;系统学;数学模型;

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4. Optimally matched current mirror layout pattern generation using genetic optimization [C] . Islam Nashaat Salah El Din, Mohamed Dessouky, Hazem Said International Conference on Microelectronics . 2016

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Optimally matched current mirror layout pattern generation using genetic optimization

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