BOZEMAN, Mont.--(BUSINESS WIRE)--Analytics software leader FICO today announced the release of a true global mathematical optimization solver as part of FICO ® Xpress 9.2 Optimization. The global ...

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 ...

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 ...

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 ...

Ising machines demonstrate significant potential to tackle computationally complex challenges, including combinatorial optimization problems related to logistics, manufacturing, finance, and AI. The ...

New integration and patterning schemes used in 3D memory and logic devices have created manufacturing and yield challenges. Industrial focus has shifted from the scaling of predictable unit processes ...

Modern optimization theory, algorithms, and applications in process engineering. Topics include the fundamentals of linear programming, integer programming, nonlinear programming, mixed-integer ...

Guru Madhavan is the Norman R. Augustine Senior Scholar and senior director of programs at the National Academy of Engineering. His new book is Wicked Problems: How to Engineer a Better World (W.W.