Minimize costs? Create a conference schedule with fewest early-morning sessions? In this excerpt from the book Data Smart, find out how to use Excel's free Solver add-in to do some data science ...

Prior efforts to develop hardware for optimization problems have involved Ising machines, a category of hardware solvers that incorporate the Ising model to find the absolute or approximate “ground ...

On Friday the 25th of May 2018, M.Sc. Jeremias Berg will defend his doctoral thesis on Solving Optimization Problems via Maximum Satisfiablity in Kumpula. The thesis is a part of the research done at ...

In the fast-evolving fields of artificial intelligence, operations research, and computational intelligence, metaheuristics ...

Advanced AI-based techniques scale-up solving complex combinatorial optimization problems Date: June 10, 2024 Source: University of California - San Diego Summary: A framework based on advanced AI ...

By combining machine learning and adaptive query execution, query optimization in Presto could become smarter and more efficient over repeated use.

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 ...

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 ...