BBA-LAHC is a novel nature-inspired feature selection algorithm developed by hybridizing Binary Bat Algorithm (BBA) and Late Acceptance Hill-Climbing (LAHC) to select the optimal subset from the said feature vectors in order to reduce the model complexity.
The research paper can be found in: https://ieeexplore.ieee.org/document/9210572