Open access
Sep 2026
A hybrid parameter-tuning for adaptive variable-length particle swarm optimisation in cancer feature selection
High-dimensional gene expression data pose substantial challenges for cancer classification due to extreme dimensionality, feature redundancy, and limited sample availability. Conventional Variable-Length PSO with Local Search (VLPSO-LS) relies on static acceleration coefficients and predefined inertia-weight schedules...
S. Wang, Siti Ramadhani, M. Fikry et al.
· Applied Computer Science · 0 citations