Heuristic genetic algorithm parameter optimizer: Making lossless compression algorithms efficient and flexible

The processing of large volumes of time series data across various fields presents significant challenges, particularly when it comes to effectively managing floating-point numbers. Current dual precision floating-point lossless compression algorithms often struggle to deliver exceptional performanc...

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Veröffentlicht in:	Expert systems with applications Jg. 272; S. 126693
Hauptverfasser:	Wang, Weijie, Chen, Wenhui, Yan, Li, Yang, Yanqing, Zhao, Huihuang
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 05.05.2025
Schlagworte:	Compression algorithm Heuristic genetic algorithm Internet of things Lossless compression Time series floating point data Lossless compression Internet of things Heuristic genetic algorithm Time series floating point data Compression algorithm
ISSN:	0957-4174
Online-Zugang:	Volltext
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