Jul 2026
MLDGWO: a grey wolf optimizer with momentum, leader adjustment, and differential perturbation for global optimization problems
Applied to five engineering optimization problems, modified momentum–leader–differential grey wolf optimizer consistently achieves the lowest objective values, while analytically proving its ability to navigate heavily penalized boundaries and satisfy all constraints.
Xin Su, Yichen Liu
· Cluster Computing · 0 citations