IEEE

Leveraging Transfer Learning in Deep Reinforcement Learning for Solving Combinatorial Optimization Problems Under Uncertainty

Abstract: In recent years, addressing the inherent uncertainties within Combinatorial Optimization Problems (COPs) reveals the limitations of traditional optimization methods. Although these methods ...
IEEE

Efficient Large-Scale Expensive Optimization via Surrogate-Assisted Subproblem Selection

Abstract: Traditional large-scale evolutionary algorithms are limited in their ability to solve certain real-world applications with high-dimensional, closed-box, and computationally expensive ...