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Titlebook: Evolvable Hardware; Tetsuya Higuchi,Yong Liu,Xin Yao Book 2006 Springer-Verlag US 2006 Algorithms.Hardware.algorithm.electronics.genetic a

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https://doi.org/10.1007/978-3-319-52000-1ron-meter resolution alignment of optical components usually takes a long time, to overcome this time problem, we propose five systems that can automatically align the positioning of optical components by genetic algorithms (GA) in very short times compared to conventional systems.
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Evolvable Analog LSI,y the genetic algorithm (GA). The developed microwave circuit for IRM is also calibrated by GA to outperform a circuit adjusted by an experienced engineer. Our calibration method, which can be applied to a wide variety of analog circuits, leads to cost reductions and the efficient implementation of analog LSIs.
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Evolvable Optical Systems,ron-meter resolution alignment of optical components usually takes a long time, to overcome this time problem, we propose five systems that can automatically align the positioning of optical components by genetic algorithms (GA) in very short times compared to conventional systems.
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EHW Applied to Image Data Compression,age coding, JBIG2-AMD2, is modified by the proposed method to achieve high compression ratios, where compression parameters are optimized by the enhanced genetic algorithm (GA). The results of computer simulations show a 171% improvement in compression ratios with the proposed method compared to JBI
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