Open access
Sep 2026
A hybrid parameter-tuning for adaptive variable-length particle swarm optimisation in cancer feature selection
Overall, VL-APSO-LS provides a robust, adaptive, and statistically validated optimisation framework for high-dimensional biomedical classification and achieves perfect classification accuracy on the Leukaemia dataset.
S. Wang, Siti Ramadhani, M. Fikry et al.
· Applied Computer Science · 0 citations