Combinatorial optimization problems are often encountered in real-world applications, including logistics, scheduling and ...

Abstract: This paper aims to present a unified optimization for resource allocation and scheduling in resource allocation systems. In contrast to traditional two-stage methods, which optimize ...

Solving complex optimization problems is central to many modern technologies, from logistics and financial modeling to chip ...

Abstract: Geo-distributed computing, a paradigm that assigns computational tasks to globally distributed nodes, has emerged as a promising approach in cloud computing, edge computing, cloud-edge ...