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

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成果类型:
期刊论文
作者:
Wang, Weijie;Chen, Wenhui;Yan, Li;Yang, Yanqing;Zhao, Huihuang
通讯作者:
Chen, WH
作者机构:
[Yan, Li; Chen, Wenhui; Zhao, Huihuang; Yang, Yanqing; Wang, Weijie] Hengyang Normal Univ, Coll Comp Sci & Technol, Hengyang 421002, Peoples R China.
[Chen, Wenhui; Yang, Yanqing] Hengyang Normal Univ, Hunan Prov Key Lab Intelligent Informat Proc & App, Hengyang 421002, Peoples R China.
[Zhao, Huihuang] Hunan Univ, Natl Engn Lab Robot Visual Percept & Control Techn, Hengyang, Peoples R China.
通讯机构:
[Chen, WH ] H
Hengyang Normal Univ, Coll Comp Sci & Technol, Hengyang 421002, Peoples R China.
Hengyang Normal Univ, Hunan Prov Key Lab Intelligent Informat Proc & App, Hengyang 421002, Peoples R China.
语种:
英文
关键词:
Time series floating point data;Lossless compression;Internet of things;Compression algorithm;Heuristic genetic algorithm
期刊:
Expert Systems with Applications
ISSN:
0957-4174
年:
2025
卷:
272
页码:
126693
基金类别:
CRediT authorship contribution statement Weijie Wang: Conceptualization, Methodology, Software, Validation, Investigation, Formal analysis, Writing – original draft, Writing – review & editing. Wenhui Chen: Conceptualization, Methodology, acquisition, Writing – review & editing, Supervision. Li Yan: Conceptualization, Methodology, Supervision. Yanqing Yang: Conceptualization, Supervision. Huihuang Zhao: Conceptualization, Supervision.
机构署名:
本校为第一且通讯机构
院系归属:
计算机科学与技术学院
物理与电子工程学院
摘要:
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 performance on diverse datasets, highlighting their inherent limitations. To address this issue, we propose a novel method called the Heuristic Genetic Algorithm Parameter Optimizer for Lossless Compression of Time Series Floating Point Data (HGA-ACTF). This method features a highly effective parameter optimi...

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