Hybrid genetic algorithm with mixed mutation mechanism for optimal display panel circuit design

I. Hsiu Lo*, Yiming Li, Kuo Fu Lee

*此作品的通信作者

研究成果: Conference contribution同行評審

2 引文 斯高帕斯(Scopus)

摘要

In this paper, a hybrid genetic algorithm which combines crossover operator of conventional genetic algorithm (GA) and mixed mutation mechanisms is proposed for the design and optimization of the panel gate driver circuits with amorphous silicon thin-film transistor (ASG driver circuit). The shooting local search method is applied on the first half of sorted population while the mutation of differential evolution (DE) is applied on the others after the end of crossover. This mechanism can accelerate the speed of convergence and keep the diversity in the meanwhile For sizing of topology-given ASG driver circuits, the system which integrates proposed algorithm and circuit simulator to optimize crucial characteristics with practical constraints is implemented and tested. The results indicate that the proposed algorithm is effective and efficient, compared with conventional GA.

原文English
主出版物標題Proceedings - International Conference on Technologies and Applications of Artificial Intelligence, TAAI 2010
頁面222-225
頁數4
DOIs
出版狀態Published - 2010
事件2010 15th Conference on Technologies and Applications of Artificial Intelligence, TAAI 2010 - Hsinchu, 台灣
持續時間: 18 11月 201020 11月 2010

出版系列

名字Proceedings - International Conference on Technologies and Applications of Artificial Intelligence, TAAI 2010

Conference

Conference2010 15th Conference on Technologies and Applications of Artificial Intelligence, TAAI 2010
國家/地區台灣
城市Hsinchu
期間18/11/1020/11/10

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