When a commercial quantum computer will surpass classical machines for real-world optimization is unknown, but probabilistic ...

Over the course of my 25-year career in the mathematical optimization software industry, I’ve lost count of how many times I’ve been asked this question: “Can you tell me what mathematical ...

A group of researchers at the Massachusetts Institute of Technology have devised a potentially more effective way of helping computers solve some of the toughest optimization problems they face. Their ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More It’s widely known that quantum computers are well suited for solving ...

We investigate risk-averse stochastic optimization problems with a risk-shaping constraint in the form of a stochastic-order relation. Both univariate and multivariate orders are considered. We extend ...

Experts say ABC represents a major step forward in bio-inspired computing. By replicating the collective intelligence and adaptive strategies of honey bees, the algorithm provides a flexible, ...

The Baumol-Tobin Cash Management Model of money demand serves as a vehicle with which to demonstrate how to use Microsoft Excel to solve optimization problems and do comparative statics analysis. The ...

New Research from Multiverse Computing Shows How Limited-Qubit Devices Can Find Solutions to Complex Mathematical Problems with Remarkable Efficiency We can transform ...

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 ...

This is a non-standard, but fun and interesting optimization problem. While standing on the shore, given top running and swimming speeds and the location of a struggling swimmer in x and y coordinates ...