C. Jia

Adaptive Reinforced Gray Langur Optimization for Feature Selection and SVR Modeling of Polysaccharides in Dendrobium huoshanense via NIR Spectroscopy

Adaptive Reinforced Gray Langur Optimization (ARGLO), an enhanced variant of the Gray Langurs Optimizer, is developed for high-dimensional, multimodal, and nonlinear search landscapes susceptible to local trapping. Although the original GLO performs multi-population cooperative s...

A Multi-Strategy Kangaroo Escape Optimization Technique for Global Optimization, Engineering Design, and Near-Infrared Prediction of Praeruptorin Content

The Kangaroo Escape Optimization Technique (KET) combines escape and safe-area searches, but its fixed stage allocation, restricted guidance range, limited refinement of low-ranked individuals, and insufficient use of population-state information can reduce its performance on com...