The constant scaling of AI applications and other digital technologies across industries is beginning to tax the energy grid ...

Experimental device harnesses quantum properties for efficient processing at room temperature. Engineers are working to ...

Researchers at UCLA and UC Riverside have demonstrated a new approach that overcomes these hurdles to solve some of the most difficult optimization problems. The team designed a system that processes ...

A novel solution to a combinatorial optimization problem in bicycle sharing systems Scientists propose a novel approach for finding the best routing paths for vehicles in charge of bicycle ...

A line of engineering research seeks to develop computers that can tackle a class of challenges called combinatorial optimization problems. These are common in real-world applications such as ...

However, large-scale combinatorial optimization problems are very computationally intensive to solve using standard computers, making researchers turn to other approaches.

This article is a review of combinatorial optimization in science and engineering applications. Combinatorial optimization has found wide applicability in most of our day-to-day affairs, ranging from ...

The paper, by H. Goto at Toshiba Corporation in Kawasaki, Japan, and colleagues was titled, "Combinatorial optimization by simulating adiabatic bifurcations in nonlinear Hamiltonian systems." ...

After yielding positive results, SoftBank said it would consider applying the quantum-based approach not only to network architecture optimization but also operational enhancements “across a ...

Wayne S. Desarbo, Douglas Grisaffe, Combinatorial Optimization Approaches to Constrained Market Segmentation: An Application to Industrial Market Segmentation ...