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dc.contributor.authorChen, Yu-Yuen_US
dc.contributor.authorLi, Yimingen_US
dc.contributor.authorChen, Chieh-Yangen_US
dc.contributor.authorChiang, Chien-Hshuehen_US
dc.date.accessioned2014-12-08T15:29:03Z-
dc.date.available2014-12-08T15:29:03Z-
dc.date.issued2012en_US
dc.identifier.isbn978-0-7695-4919-4en_US
dc.identifier.urihttp://hdl.handle.net/11536/20962-
dc.identifier.urihttp://dx.doi.org/10.1109/TAAI.2012.48en_US
dc.description.abstractWe 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.en_US
dc.language.isoen_USen_US
dc.subjectMulti-objecive Evolutionary Algorithmen_US
dc.subjectNSGA-ll Sensistivityen_US
dc.subjectPanal Driver Circuiten_US
dc.titleMulti-Objective Display Panel Design Optimization using Circuit Simulation-Based Evolutionary Algorithmen_US
dc.typeProceedings Paperen_US
dc.identifier.doi10.1109/TAAI.2012.48en_US
dc.identifier.journal2012 CONFERENCE ON TECHNOLOGIES AND APPLICATIONS OF ARTIFICIAL INTELLIGENCE (TAAI)en_US
dc.citation.spage188en_US
dc.citation.epage192en_US
dc.contributor.department傳播研究所zh_TW
dc.contributor.departmentInstitute of Communication Studiesen_US
dc.identifier.wosnumberWOS:000313560200032-
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