Abstract: In recent years, the advantages of Graph Neural Networks (GNNs) in solving complex combinatorial optimization problems have become more and more obvious. Under this background, this paper ...

This paper delves into how to collaboratively reduce emissions of sulfur dioxide, nitrogen oxides, and carbon dioxide through rational energy consumption and governance investment strategies with ...

Abstract: This paper investigates a dynamic slab design problem in the steel industry, where order demands arrive dynamically during a given period. Slabs are the raw materials for producing order ...