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Knowledge-guided hyper-heuristic evolutionary algorithm for large-scale Boolean network inference
DOI:10.1016/j.eswa.2026.131418.png)
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
IF:
7.5
论文数:
3.0W
被引数:
11.7W
机构
引用论文
GAPORE: Boolean network inference using a genetic algorithm with novel polynomial representation and encoding schemeGAPORE: 使用具有新颖多项式表示和编码方案的遗传算法进行布尔网络推理
Inferring Gene Regulatory Networks via Ensemble Path Consistency Algorithm Based on Conditional Mutual Information基于条件互信息的集成路径一致性算法推断基因调控网络
Tackling Large-Scale and Combinatorial Bi-Level Problems With a Genetic Programming Hyper-Heuristic用遗传编程超启发式解决大规模和组合双层问题
Parity and time reversal elucidate both decision-making in empirical models and attractor scaling in critical Boolean networks
SCIENCE ADVANCES
IF12.5

