Graph algorithms and combinatorial optimisation form a pivotal area of research that underpins many modern computational applications. At their core, graph algorithms provide systematic methods for ...

Decision diagrams have emerged as a powerful tool in combinatorial optimisation, offering a structured and compact representation of vast solution spaces. These graphical models, which encapsulate ...

Today Fujitsu Laboratories announced a collaboration with the University of Toronto to develop a new computing architecture to tackle a range of real-world issues by solving combinatorial optimization ...

<big><big>CWI-DIAMANT Seminar Combinatorics and Optimization </big> </big> The seminar is organized by the research group PNA1: Algorithms, Combinatorics and Optimization on a bi-weekly basis and ...

This is a preview. Log in through your library . Abstract This article is a review of combinatorial optimization in science and engineering applications. Combinatorial optimization has found wide ...

where the output is not from a fixed vocabulary, but a sequence of pointers to elements from the input. Main idea: Instead of producing an output token from a fixed-size vocabulary, the model points ...

Artificial intelligence (AI) and combinatorial optimization drive applications across science and industry, but their increasing energy demands challenge the sustainability of digital computing. Most ...

Real-life planning problems are often complicated by the occurrence of disturbances, which imply that the original plan cannot be followed anymore and some recovery action must be taken to cope with ...

Quantum annealing (QA) is a cutting-edge algorithm that leverages the unique properties of quantum computing to tackle complex combinatorial optimization problems (a class of mathematical problems ...