Post-Processing Variationally Scheduled Quantum Algorithm for Constrained Combinatorial Optimization Problems. IEEE Transactions on Quantum Engineering, 2024; 1 DOI: 10.1109/TQE.2024.3376721 ...

The Ant Colony Optimization (ACO) algorithm is a metaheuristic nature-inspired technique for solving various combinatorial optimization problems. The shortest-path problem is an important ...

It’s been difficult to find important questions that quantum computers can answer faster than classical machines, but a new algorithm appears to do so for some critical optimization tasks.

"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>.

The goal of a numerical optimization problem is to find a vector of values that minimizes some cost function. The most fundamental example is minimizing the Sphere Function f (x0, x1, .. xn) = x0^2 + ...

Together with Noah Shutty, also at Google, Jordan began testing decoding schemes, seeing how they fared against classical algorithms on various optimization problems. They needed both the right ...

The goal of a combinatorial optimization problem is to find a set of distinct integer values that minimizes some cost function. The most famous example is the Traveling Salesman Problem (TSP). There ...

A new two-level subspace method is proposed for solving the general unconstrained minimization formulations discretized from infinite-dimensional optimization problems. At each iteration, the ...

Routing problems are not inherent to the shipping industry, and the scientists confirmed that their findings could easily be transferred to any vehicle optimization problem that has time ...