The Journal of the Operational Research Society, Vol. 55, No. 7, Part Special Issue: Local Search (Jul., 2004), pp. 705-716 (12 pages) The Bin Packing Problem and the Cutting Stock Problem are two ...

We propose local search algorithms for the vehicle routing problem with soft time-window constraints. The time-window constraint for each customer is treated as a penalty function, which is very ...

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.

Conventional quantum algorithms are not feasible for solving combinatorial optimization problems (COPs) with constraints in the operation time of quantum computers. To address this issue ...

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 ...

Quantum computers of the future hold promise for solving complex problems more quickly than ordinary computers. For example, they can factor large numbers exponentially faster than classical ...

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