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Solving Large Break Minimization Problems in a Mirrored Double Round-robin Tournament Using Quantum Annealing
In the case of 36 teams, it took 84. 8 s for the integer programming method to reach the objective function value, which was obtained by the quantum annealer in 0. 05 s. These results not only present the break minimization problem in an MDRRT as an example of applying QA to practical optimization problems, but also contribute to find problems that can be effectively solved by QA.
Constrained Generalized Additive 2 Model with Consideration of High-Order Interactions
The second is the introduction of a higher-order term: given that GA2M considers only second-order interactions, we aim to balance interpretability and prediction accuracy by introducing a higher-order term that can capture higher-order interactions.
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