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Write strategy tuning for optical recording devices (ORDs) is laborious and time consuming. An automated learning approach based on the genetic algorithm (GA) is proposed to automatically learn the write strategy implemented in an ORD for dye recording media. To evaluate the writing performance associated with every set of writing parameters in the write strategy, jitters corresponding to different...
An automated learning approach based on the genetic algorithm (GA) is proposed to automatically learn the write strategy in an optical recording device for dye recording media. Jitters corresponding to different lengths of pits and lands are utilized as the optimization index.
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