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 ...

Daniel Karapetyan: Post-doctoral fellow at Simon Fraser University Surrey during 2011-2013. Received Ph.D. from University of London in 2011. His research interests include design and analysis of ...

A.P. Punnen, Local search in Combinatorial Optimization by Emile Aarts and J K Lenstra (eds) Interfaces A.P. Punnen, Interactive Operations Research with MAPLE, by M. Parlar, INFOR 40 (2002) 173-174.

"A novel solution to a combinatorial optimization problem in bicycle sharing systems." ScienceDaily. ScienceDaily, 27 October 2021. <www.sciencedaily.com / releases / 2021 / 10 / 211027122102.htm>.

Using the Honeywell System Model H1 quantum computer, the new approach managed to outperform current “gold standard” algorithms like the Quantum Approximate Optimization Algorithm (QAOA) and ...

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 ...

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 ...

The goal of a combinatorial optimization problem is to find the best ordering of a set of discrete items. A classic combinatorial optimization challenge is the Traveling Salesman Problem (TSP). The ...