Abstract: Several real-world applications introduce derivativefree optimization problems, called variable dimension problems, where the problem's dimension is not known in advance. Despite their ...

A line of engineering research seeks to develop computers that can tackle a class of challenges called combinatorial optimization problems. These are common in real-world applications such as ...

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When the pandemic upended the world of higher education, Robin Pugh, a professor at City College of San Francisco, began to see one puzzling problem in her online courses: Not everyone was a real ...

A framework based on advanced AI techniques can solve complex, computationally intensive problems faster and in a more more scalable way than state-of-the-art methods, according to a study led by ...

A framework based on advanced AI techniques can solve complex, computationally intensive problems faster and in a more more scalable way than state-of-the-art methods, according to a new study. A ...

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, researchers ...

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If you have used our code for research purposes, please cite the publications mentioned above. For the sake of simplicity, we provide the Bibtex format: @article{Lapucci2024, author={Lapucci, Matteo ...