Visitors pass in front of the Qualcomm stand at the MWC (Mobile World Congress), the world's biggest mobile fair, in Barcelona on March 4, 2025. Surrounded by investment and innovation projects, the ...

In this work, we address a question that has attracted intense interest in recent years: whether machine learning-assisted algorithms can genuinely outperform classical approaches in challenging ...

The Mathematics in Computation Section at Oak Ridge National Laboratory (ORNL) invites outstanding candidates to apply for the Alston S. Householder Fellowship in mathematics and scientific computing.

CVRPWrapper "depots [depots] points [points] demands [demands] capacity [capacity] output [sol]" vrplib CVRPBWrapper "depots [depots] points [points] demands [demands ...

Resource allocation of wide-area internet networks is inherently a combinatorial optimization problem that if solved quickly, could provide near real-time adaptive control of internet-protocol traffic ...

Scalable addressing of high-dimensional constrained combinatorial optimization problems is a challenge that arises in several science and engineering disciplines. Recent work introduced novel ...

This module performs simulated annealing optimization to find the optimal state of a system. It is inspired by the metallurgic process of annealing whereby metals must be cooled at a regular schedule ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Non-Commercial (NC): Only non-commercial uses of the work are permitted. No ...

Combinatorial optimization is of general interest for both theoretical study and real-world applications. Fast-developing quantum algorithms provide a different perspective on solving combinatorial ...

Combinatorial optimization problems are pervasive across science and industry. Modern deep learning tools are poised to solve these problems at unprecedented scales, but a unifying framework that ...

Abstract: We present PyQUBO, an open-source Python library for constructing quadratic unconstrained binary optimizations (QUBOs) from the objective functions and the constraints of optimization ...