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 ...

Combinatorial optimisation algorithms are central to addressing problems in which the goal is to select an optimal solution from a finite set of alternatives. These algorithms have evolved ...

Affiliations and titles are at the end of each research activity. Vehicle, bike, and pedestrian detection is one of the core tasks in the ITS (intelligent transport system). This research aims to ...

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, ...

MicroAlgo Inc. announced its research on the Quantum Information Recursive Optimization (QIRO) algorithm, which aims to address complex combinatorial optimization problems using quantum computing.

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 ...

Temporal change of particle position x. Red: x is positive. Blue: x is negative. This material relates to a paper that appeared in the April 19th, 2019, issue of Science Advances, published by AAAS.

Xinyun Wu: Post-doctoral Fellow during 2017-2018. Currently works at Hubei University of Technology as Assistant Professor in Computer Science. His research interests include design and analysis of ...

This course is available on the MSc in Applicable Mathematics and MSc in Operations Research & Analytics. This course is not available as an outside option. Some familiarity with graph theory and some ...