Surrogate Models for Simulation Optimization
When a real-world system or a complex simulation is expensive or time-consuming to evaluate, a surrogate model (also known as a metamodel or response surface model) can be built. This is a simpler, faster-to-evaluate model trained on a limited number of actual simulation or experiment outputs. It then approximates the behavior of the complex system, allowing for quicker exploration of parameter spaces and optimization without running the full simulation many times.
It's like using a simplified, quick-sketch map to navigate a new city instead of a highly detailed, slow-to-load 3D rendering, allowing you to plan your route faster.
It drastically reduces computation time and cost for optimizing complex systems in engineering, manufacturing, and scientific research.
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