BOZEMAN, Mont., Sept. 1, 2023 — Analytics software leader FICO announced the release of a true global mathematical optimization solver as part of FICO Xpress 9.2 Optimization. The global optimization ...

The proposed algorithm combines variational scheduling with post-processing to achieve near-optimal solutions to combinatorial optimization problems with constraints within the operation time of ...

Researchers have developed a new, data-driven machine-learning technique that speeds up software programs used to solve complex optimization problems that can have millions of potential solutions.

Every day, more and more enterprises are using AI technologies — such as machine learning, mathematical optimization and heuristics — to make high-stakes decisions in industries like healthcare, ...

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 ...