Combinatorial optimization problems are ubiquitous, underpinning decision-making in a wide range of fields, including ...

Researchers explore how amoebae can be used to develop highly energy-efficient computing systems, aimed at solving complex ...

The traveling salesman problem is considered a prime example of a combinatorial optimization problem. Now a Berlin team led by theoretical physicist Prof. Dr. Jens Eisert of Freie Universität Berlin ...

Toshiba Corporation has realized a major breakthrough in combinatorial optimization—the selection of the best solutions from among an enormous number of combinatorial patterns—with the development of ...

In this graduate-level course, we will be covering advanced topics in combinatorial optimization. We will start with matchings and cover many results, extending the fundamental results of matchings, ...

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 ...

Combinatorial optimization addresses decision problems on discrete structures, such as routing, scheduling and network design, whose exact solution often lies beyond feasible computational limits.