Combinatorial optimisation is a fundamental field in applied mathematics and computer science that focuses on finding an optimal object from a finite set of objects. In this context, problems are ...

Statistical Science, Vol. 8, No. 1, Report from the Committee on Applied and Theoretical Statistics of the National Research Council on Probability and Algorithms (Feb., 1993), pp. 48-56 (9 pages) ...

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 ...

Conventional quantum algorithms are not feasible for solving combinatorial optimization problems (COPs) with constraints in the operation time of quantum computers. To address this issue, researchers ...

This is a preview. Log in through your library . Abstract We show that the stochastic versions of some classical problems in combinatorial optimization may be imbedded in multiparameter subadditive ...

The proposed algorithm combines variational scheduling with post-processing to achieve near-optimal solutions to combinatorial optimization problems with constraints within the operation time of ...

In a new development that is most likely to establish a new industry standard, scientists at Cambridge Quantum (CQ) have created a new algorithm for solving combinatorial optimization problems that ...

The Amplify SDK enables simple, efficient development and unified handling of quantum and optimization solvers [1]. The Amplify AE is a large-scale Ising machine that solves combinatorial optimization ...