We investigate risk-averse stochastic optimization problems with a risk-shaping constraint in the form of a stochastic-order relation. Both univariate and multivariate orders are considered. We extend ...

Quantum computers could provide significantly better solutions more quickly. Credit: HZB The traveling salesman problem is considered a prime example of a combinatorial optimization problem.

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 ...

The optimization mode requires quantum effects, can solve a growing list of problems.