Numerous real-world applications involve large-scale multi-objective optimization problems (LSMOPs) with hundreds or even thousands of decision variables. Although multi-objective evolutionary ...

When designing new computer chips, engineers need to make various decisions about how to connect their underlying components ...

Computer-generated holography (CGH) provides an approach to digitally modulate a given wavefront. This technology, partly inherited from optical holography and partly advanced by the progress of ...

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 ...

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 ...

Meta AI mathematics open problems got a new answer on October 2, 2026: six papers co-authored by mathematicians and Muse Spark in Thinking Mode via ordinary meta.ai chat -- five tackling previously ...

If your supply chain is drowning in variables, constraints and constant change, quantum optimization may offer a smarter way ...

You make decisions every day. Some are big, and some are small. But even the small decisions involve a great deal of complexity. Let me show you what I mean. Take something you probably do regularly: ...

I had my self-made "evolutionary optimization engine" solve a problem for which the answer was already known.It automatically ...

NVIDIA has filed a new patent that will let developers consult AI models like a chatbot to request diagnostics of existing ...