Open access
Aug 2026
Prey-Impatience-Driven Sand Cat Swarm Optimization with Perturbation Learning for Global Optimization and Engineering Applications
The numerical and engineering test results demonstrate that CMSCSO provides high optimization accuracy, strong stability, and good adaptability to complex engineering problems, and can serve as an effective solution method for optimization tasks in structural design, mechanical engineering, and other related fields.
Jiawen Wang, Jia-Yue Cai, Xue-Fei Xie et al.
· Biomimetics · 0 citations