Optimal control problems are pervasive across numerous disciplines, including engineering, economics, biology, and medicine, where they play a crucial role in optimizing the performance of dynamic ...

A robust optimal scheduling method driven by multi-objects is proposed for the collaborative optimization problem between dynamic scheduling, preventive maintenance of equipment, and robustness of ...

In mid-May, OpenAI announced that an internal AI model had disproved the Erdős unit distance conjecture, a famous problem in discrete geometry that had stumped human mathematicians for the last 80 ...

A line of engineering research seeks to develop computers that can tackle a class of challenges called combinatorial optimization problems. These are common in real-world applications such as ...

The traveling salesman problem is considered a prime example of a combinatorial optimization problem. Now a Berlin team led by theoretical physicist Prof. Dr. Jens Eisert of Freie Universität Berlin ...

Overview Quantum systems evaluate countless supply chain variables simultaneously, helping organizations solve complex ...

Classical computing gave us automation. What's coming next is something closer to a factory that thinks. But getting there requires two technologies converging in a way that many might not fully ...

Dr. James McCaffrey of Microsoft Research uses full code samples to detail an evolutionary algorithm technique that apparently hasn't been published before. The goal of a combinatorial optimization ...

Cyrus Finance is a next-generation multi-platform DeFi ecosystem built on an advanced curve trading model, using AMM V3 ...