.png){kind=icon}
.png){kind=icon}
Return
Knowledge-guided hyper-heuristic evolutionary algorithm for large-scale Boolean network inference
.png){kind=icon}
PRE
AI
DOI：10.1016/j.eswa.2026.131418.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
• A novel hyper-heuristic method infers large-scale Boolean networks accurately. • Six knowledge-guided operators efficiently explore the solution space. • A new mutual information metric reduces redundancy and prevents overfitting. • Extensive experiments validate the superiority of the proposed method.
Keywords:
Boolean network inference
hyper-heuristic
evolutionary algorithm
mutual information
large-scale networks
Journal
IF:
7.5
Papers:
2.9W
Citations:
10.2W