Abstract: This paper conducts a thorough comparative analysis of optimization algorithms for an unconstrained convex optimization problem. It contrasts traditional methods like Gradient Descent (GD) ...

Abstract: High-dimensional expensive optimization problems (HEOPs) have posed significant challenges to current surrogate-assisted differential evolution algorithms (SADEs) because of the curse of ...

PhD students and postdoctoral researchers: Students and postdoctoral researchers who are interested to join my research group at the Chinese University of Hong Kong, Shenzhen in China and at the ...