HS-NMRA is a new hybrid feature selection algorithm developed using the versatile Harmony Search (HS) algorithm and a new nature-inspired algorithm called Naked Mole-Rat (NMR) algorithm to select the best subset of features and reduce the model complexity.
The research paper can be found in: https://ieeexplore.ieee.org/document/9212354