Darinka Dentcheva, Gabriela Martinez, Eli Wolfhagen, Augmented Lagrangian Methods for Solving Optimization Problems with Stochastic-Order Constraints, Operations Research, Vol. 64, No. 6 ...

Prior efforts to develop hardware for optimization problems have involved Ising machines, a category of hardware solvers that incorporate the Ising model to find the absolute or approximate “ground ...

"Optimization algorithms generate holograms by solving the inverse problem in CGH, but simply optimization does not necessarily guarantee the generation of an appropriate hologram.

Annealing processors are more energy efficient and quicker at solving mathematical optimization problems than PCs. Researchers at Tokyo University of Science have now developed a new approach to ...

Problem solving is, itself, a problem. With so many proven methods at our disposal, choosing the right one can feel like a long and difficult journey. Today, I’d like to take a look at three ...

The researchers also considered an extension of the STSP that includes time windows for simultaneous pickups and deliveries, creating a more realistic and challenging problem. The core method involves ...

A Microsoft analog optical computer has solved two optimization problems and shown potential for AI workloads using less energy.