Multi-objective display panel design optimization using circuit simulation-based evolutionary algorithm

Yu Yu Chen*, Yiming Li, Chieh Yang Chen, Chien Hshueh Chiang

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publicationProceedings - 2012 Conference on Technologies and Applications of Artificial Intelligence, TAAI 2012
Pages188-192
Number of pages5
DOIs
StatePublished - 2012
Event2012 Conference on Technologies and Applications of Artificial Intelligence, TAAI 2012 - Tainan, Taiwan
Duration: 16 Nov 201218 Nov 2012

Publication series

NameProceedings - 2012 Conference on Technologies and Applications of Artificial Intelligence, TAAI 2012

Conference

Conference2012 Conference on Technologies and Applications of Artificial Intelligence, TAAI 2012
CountryTaiwan
CityTainan
Period16/11/1218/11/12

Keywords

  • Multi-objecive evolutionary algorithm
  • NSGA-ll sensistivity
  • Panal driver circuit

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