By leveraging inference-time scaling and a novel "reflection" mechanism, ALE-Agent solves the context-drift problems that ...

In the lower part of the figure, it can be seen that L2O leverages on a set of training problem instances from the target optimization problem class to gain knowledge. This knowledge can help identify ...

This is a preview. Log in through your library . Abstract ABSTRACT Design optimization methods are commonly used for weight reduction subjecting to multiple constraints in automotive industry. One of ...

When trying to teach a complex subject, sometimes the best strategy is to wrap it in something familiar. Like a burrito. An ideal candidate for such an approach? Mathematical optimization, which uses ...

Optimization problems can be tricky, but they make the world work better. These kinds of questions, which strive for the best way of doing something, are absolutely everywhere. Your phone’s GPS ...

The original version of this story appeared in Quanta Magazine. For computer scientists, solving problems is a bit like mountaineering. First they must choose a problem to solve—akin to identifying a ...

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 ...

Artificial Intelligence is unleashing a wave of transformation in the energy industry, revolutionizing processes and enabling unprecedented advancements. In efficiency, accuracy. And agility.