definition · term 2 of 25
blackbox optimization.
Optimization of a system whose behaviour is known only through data or simulation, not through formulas you can write down.
worked examplesettings in, yield outA kiln has three settings and no formula for its yield. A surrogate learns yield from two years of runs, and the search picks the settings with the best predicted yield inside the safe range.
in plain language
Some systems are too complex to describe with equations: a chemical process, a building's energy use, a production line with many interacting settings. Blackbox optimization learns the input-output behaviour from historical data or a simulator, usually with a surrogate model. It then searches for the inputs with the best predicted output.
blackbox optimization, on your own decision.
Bring one recurring decision. Your planners see the terms of this glossary applied to their own rules and data.
- Glossary
- all 25 terms, a to z
- Problem types
- the decisions kint solves
- Comparisons
- kint next to other approaches
- Contact
- hello@kint.pro