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.

BEAVERTON, Ore. & DALLAS--(BUSINESS WIRE)--Gurobi Optimization, LLC – which produces the world’s fastest mathematical optimization solver, the Gurobi Optimizer – and o9 Solutions, Inc. – a premier ...

Everyone's racing to build the most powerful quantum computer. But what if the winner is the one that plays nicest with ...

A new type of computer uses oscillators in special materials to find the most efficient solutions to complex scheduling and routing problems at room temperature. (Nanowerk News) A line of engineering ...

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, ...

Suboptimal dispatch planning decisions cost American trucking fleets between $150 billion and $200 billion annually, according to BeyondTrucks. The company says it has a solution using AI-powered ...

An optimization problem is one where you have to make the best decision (choose the best investments, minimize your company’s costs, find the class schedule with the fewest morning classes, or so on).