基于电路仿真的进化算法的多目标显示面板设计优化

Yu-Yu Chen, Yiming Li, Chieh-Yang Chen, Chien-Hsueh Chiang
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引用次数: 0

摘要

本文首次采用多目标进化算法(MOEA)优化非晶硅薄膜晶体管的显示面板栅极驱动电路(ASG驱动电路)。MOEA与基于统一优化框架的电路模拟器集成在一起。研究结果表明,所开发的优化流程比简单遗传算法能找到更好的解。制造样品的测量数据进一步表明,所获得的结果鲁棒性好,优于原设计。这种方法有利于信息和通信技术行业显示面板的设计和制造。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multi-objective Display Panel Design Optimization Using Circuit Simulation-Based Evolutionary Algorithm
We for the first time implement a multi-objective evolutionary algorithm (MOEA) to optimize the display panel gate driver circuits with amorphous silicon thin-film transistors (ASG driver circuit). The MOEA is integrated with a circuit simulator based upon a unified optimization framework. The results of this study indicate the developed optimization flow can find the better solutions than a simple GA. The measurement data of the fabricated sample further show the achieved result is robust and superior to the original design. This approach benefits design and manufacturing of display panels in the industry of information and communications technology.
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