Metaheuristics constitute a family of high-level, problem-independent algorithmic frameworks designed to guide underlying heuristics toward near-optimal solutions in domains where exact methods are ...

This paper describes a greedy heuristic for a class of combinatorial optimization problems; a central feature of the method being a look-ahead capability. The power of the heuristic is demonstrated ...

The minimization of the Ising Hamiltonian using dynamical systems such as coupled electronic 1,2,3,4,5 and photonic oscillators 6,7,8 has received substantial attention in recent years 9,10. A ...

A framework based on advanced AI techniques can solve complex, computationally intensive problems faster and in a more more scalable way than state-of-the-art methods, according to a new study. A ...

Although computers are overwhelmingly digital today, there’s a good point to be made that analog computers are the more efficient approach for specific applications. The authors behind a recent paper ...