They described the algorithm in “Minimizing the levelized cost of electricity for bifacial solar panel arrays using Bayesian optimization,” which was recently published in Sustainable Energy ...

“Machine learning is normally very data intensive, and it’s difficult to generate a lot of data when you’re using high-quality data from finite element analysis. But the multi-objective Bayesian ...

But the multi-objective Bayesian optimization algorithm only needed 400 data points, whereas other algorithms might need 20,000 or more.?So, we were able to work with a much smaller but an ...

As the name suggests, it is based on Bayesian optimization, a field of mathematics that was created by Jonas Mockus in the 1970s and that has been applied to all kinds of algorithms – including ...

That could be Bayesian optimization, bandit optimization (another classic optimization strategy) or another algorithm. Indeed, it’s worth noting that Ax is framework-agnostic.