Constraint satisfaction problems (CSPs) provide a versatile framework for modelling complex decision-making tasks where a collection of variables must be allocated values that satisfy specific ...

Graph theory has long provided a robust mathematical framework for investigating networks, relations and connectivity in both abstract and applied settings. Recent advances have markedly refined our ...

They have a mathematical, analog “solver” that can potentially find the best solution to NP-hard problems. NP-hardness is a theory of computational complexity, with problems that are famous for their ...

This is a preview. Log in through your library . Abstract In this paper, we study the long-standing open question regarding the computational complexity of one of the core problems in supply chains ...

NP-complete problems, including optimal routing, scheduling and network design, are foundational to essential tasks across various industries. However, they actually pose challenges for conventional ...

Traveling Salesman Problems are in a class of very difficult mathematical problems called NP-Complete problems. The possible solutions scales at insanely high levels that go far beyond current ...