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 ...

Integer programming and combinatorial optimization form the backbone of many decision-making and resource allocation problems across diverse fields, from logistics and telecommunications to finance ...

This is a preview. Log in through your library . Abstract Let z * be the (unknown) optimal value of a combinatorial optimization problem (in minimization form) and let z be a constant satisfying ...

Traffic congestion has been worsening since the 1950s in large cities thanks to the exorbitant number of cars sold each year. Unfortunately, the figurative price tag attached to excessive traffic ...

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 ...

Bicycle sharing systems have become an attractive option to alleviate traffic in congested cities. However, rebalancing the number of bikes at each port as time passes is essential, and finding the ...

Annealing processors are more energy efficient and quicker at solving mathematical optimization problems than PCs. Researchers at Tokyo University of Science have now developed a new approach to ...

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 ...

Linear programming (simplex, duality), Network flows (shortest path, max flow, min cut); These are “soft” prerequisites, i.e., even without this background it ...

Motion of particles in phase space (xy plane surface). 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, ...