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 ...

The Quantum Information Recursive Optimization (QIRO) algorithm is an optimization algorithm based on quantum computers, designed to tackle complex combinatorial optimization problems.

A line of engineering research seeks to develop computers that can tackle a class of challenges called combinatorial ...

One must make sure that the optimization algorithms used can reach a good-enough solution in a reasonable time for a realistically large number of ports and vehicles.

The emphasis is on the derivation of combinatorial results, including min-max relations, as well as on the corresponding algorithmic questions of how to find such objects. The intended audience ...

Rigetti was selected by the Defense Advanced Research Projects Agency (DARPA) to advance the state-of-the-art in quantum algorithms for solving combinatorial optimization problems as part of the ...

We develop a novel framework, the implicit hitting set approach, for solving a class of combinatorial optimization problems. The explicit hitting set problem is as follows: given a set U and a family ...

Wayne S. Desarbo, Douglas Grisaffe, Combinatorial Optimization Approaches to Constrained Market Segmentation: An Application to Industrial Market Segmentation ...

Research Interests My areas of research are compilers, combinatorial optimization algorithms and parallel algorithms. More specifically, my research focuses on developing exact or precise algorithms ...