In the manufacturing and logistics industries, various products and raw materials are moved every day.For example, let's consider a scenario where products manufactured at three factories are ...

New AutoRL methods using hyperparameter optimization and metalearning achieve best solutions in 23 of 28 Sequential Ordering ...

To address the difficulty of jointly optimizing production efficiency and electricity cost in flexible job shop scheduling under time-of-use electricity pricing, a bi ...

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 ...

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 ...

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 ...

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 ...

The rise of AI, graphic processing, combinatorial optimization and other data-intensive applications has resulted in data-processing bottlenecks, as ever greater amounts of data must be shuttled back ...

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: ...

OpenAI claims to disprove the Exponential Time Hypothesis with a new algorithm showing subexponential performance for the ...