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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...
In this work, we design and optimize a new amorphous silicon gate (ASG) driver circuit for GOP (gate-on-panel) application in medium size LCD. The circuit is composed of sixteen TFTs and one capacitor with distinct pre-charge nodes and dual low voltage levels. The design of distinct pre-charge nodes is conducive to the decrease of the charge time, and the dual low voltage level will stabilize the...
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...
For TFT-LCD panel manufacturing, gate driver circuit with amorphous silicon thin-film transistor (TFT-ASG circuit) plays an important role. In this paper, we propose two different ASG driver circuit topologies to improve crucial dynamic characteristics and then optimize them with circuit sizing by simulation-based evolutionary method which integrates genetic algorithm and circuit simulator on the...
In this work, we for the first time optimize dynamic characteristic of amorphous silicon thin-film transistor (TFT) gate (ASG) driver circuits for TFT-LCD panel. The rise time, fall time, power dissipation, and ripple voltage of the ASG driver circuit are optimized using simulation-based evolutionary method which integrates genetic algorithm and circuit simulation on the unified optimization framework...
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