Timely survey on applying machine learning to solve complex combinatorial optimization problems over networks
Effective use of networked resources requires the ability to solve complex large-scale optimization problems fast while accounting for many input variables and performance requirements, such as end-to-end latency. Advancing beyond heuristic approaches, we begin with surveying the current state of applied machine learning to solve complex combinatorial optimization problems over networks. In our IEEE Access … Continue reading “Timely survey on applying machine learning to solve complex combinatorial optimization problems over networks”