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

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

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 ...

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 ...

Shapes obtained through topology optimization, such as bone-like structures, tree-like structures, and blood vessel-like ...

What if the next new mathematical discovery didn’t come from a human mind, but from an AI? Imagine a machine not just crunching numbers but proposing original solutions to problems that have baffled ...

We walk through an optimization problem step by step, clearly explaining how to identify variables, set up the correct function, apply derivatives, and find maximum or minimum values. Each step is ...

Collaboration explores how quantum optimization could support natural gas transmission planning, with research executed on IonQ Forte-1 quantum hardware ...

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