Utilize AI to analyze application runtime data (e.g., rendering time, communication latency), obtain optimization suggestions (such as reducing component re-rendering, reusing hardware connections), ...

Abstract: The electric vehicle routing problem (EVRP) is a complex logistical challenge that requires optimizing both route planning and charging decisions. Although ant colony optimization (ACO) has ...

Artificial intelligence has moved from checking homework to attacking problems that professional mathematicians once treated ...

If your AI feels slow, expensive or risky, the problem isn’t the models — it’s the data, and cognitive data architecture is ...

The leading approach to the simplex method, a widely used technique for balancing complex logistical constraints, can’t get ...

Explore zero-one integer programming, a key method in logical problem-solving, using binary choices for optimal decisions in finance, production, and more.

It’s so new, it’s generally deemed pre-commercial. Revenues are above zero, but barley so. And rather than being normal sales ...

It remains an open question when a commercial quantum computer will emerge that can outperform classical (non-quantum) ...

Abstract: A novel consensus-based particle swarm optimization-guided surrogate-enhanced methodology (ACP-S) is developed to solve expensive black-box optimization (EBBO) problems. The proposed ...