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Knowledge-guided hyper-heuristic evolutionary algorithm for large-scale Boolean network inference

delete2026-02-10
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PRE
AI
X
Xiang Liu
Y
Yan Wang
X
Xiayu Jiang
Z
Zhicheng Ji
S
Shan He
DOI:10.1016/j.eswa.2026.131418delete
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摘要

摘要

En 中文
• 一种新型超启发式方法能够精确推断大规模布尔网络。 • 六种知识引导算子能够高效探索解空间。 • 一种新的互信息指标能够减少冗余并防止过拟合。 • 广泛的实验验证了所提出方法的优势。
Keyword:
Boolean network inference
hyper-heuristic
evolutionary algorithm
mutual information
large-scale networks

期刊

Expert Systems with Applications 封面图
Expert Systems with Applications
IF:
7.5
论文数:
3.0W
被引数:
11.7W

机构

J
Jiangnan University
学者数:
3.5K
论文数: 844
被引数: 231
U
University of Birmingham
学者数:
1.6K
论文数: 731
被引数: 376
引用论文

引用论文

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errLähdesmäki, H; Shmulevich, I; Yli-Harja, O
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Parity and time reversal elucidate both decision-making in empirical models and attractor scaling in critical Boolean networks
err2021-07-16
err30
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errRozum, Jordan C.; Zanudo, Jorge Gomez Tejeda; Gan, Xiao; Deritei, David; Albert, Reka
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