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The Differences Between Local Optimization and Global Optimization
The evolutionary algorithm we're using was actually what's called like a global optimization algorithm, at least it attempts to be so. And typically these searches are mostly directed by how good the individual points are. That's the signature of the information you use to guide the search. But if you extend that paradigm a little bit, not only do you want to do global optimization, but you also want to be able to use information that's more dense and rich than just the performance with respect to your heuristic.