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 ...

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 ...

Combinatorial Optimization Algorithms Publication Trend The graph below shows the total number of publications each year in Combinatorial Optimization Algorithms.

Cambridge Quantum reveals new algorithm for solving combinatorial optimization problems with business use-cases.

Most of the recent work on 2-stage stochastic combinatorial optimization problems has focused on minimization of the expected cost or the worst-case cost of the solution. Those two objectives can be ...

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.

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 ...

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 ...

Lysa Porth, Jeffrey Pai, Milton Boyd, A Portfolio Optimization Approach Using Combinatorics With a Genetic Algorithm for Developing a Reinsurance Model, The Journal of Risk and Insurance, Vol. 82, No.

Randomized algorithms for combinatorial and discrete optimization Randomized algorithms for machine learning on networks Deadlines CU Internal Deadline: 11:59pm MST May 2, 2022 DOE Pre-Application ...