BEAVERTON, Ore.--(BUSINESS WIRE)--Gurobi Optimization, LLC, the leader in decision intelligence technology, today announced the release of OptiMods, an open-source project that provides Python users ...

Dr. James McCaffrey of Microsoft Research shows how to implement simulated annealing for the Traveling Salesman Problem (find the best ordering of a set of discrete items). The goal of a combinatorial ...

In the world of machine learning (ML), there are a few very important processes which are critical to anyone in the ML space. The first is making sure the data used in machine learning is clean. This ...

Of all the reasons Python is a hit with developers, one of the biggest is its broad and ever-expanding selection of third-party packages. Convenient toolkits for everything from ingesting and ...

The Python programming language is a hit for data science and machine-learning projects on high-powered hardware, but one of its weaknesses is speed. Anaconda, a company that provides a leading ...

The goal of a combinatorial optimization problem is to find the best ordering of a set of discrete items. A classic combinatorial optimization challenge is the Traveling Salesman Problem (TSP). The ...