Titlebook: Simulation-Driven Design by Knowledge-Based Response Correction Techniques; Slawomir Koziel,Leifur Leifsson Book 2016 Springer Internation

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Surrogate-Based Optimization Using Parametric Response Correction,n problems in various engineering disciplines such as electrical engineering, antenna design, hydrodynamics, and aerodynamic shape optimization. Parametric response correction is simple to implement and it boils down to determining the surrogate model parameters using available data from both the lo

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Expedited Simulation-Driven Optimization Using Adaptively Adjusted Design Specifications, SBO methods discussed so far in this book. The key component of the majority of the SBO techniques is a surrogate model, constructed so as to represent well (in a given sense that might be problem dependent) the high-fidelity model being the subject of the optimization process. In the case of physi

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Multi-objective Optimization Using Variable-Fidelity Models and Response Correction,ehand, the problem can be turned into a single-objective one by selecting the primary goals and handling the remaining objectives through appropriately defined constraints. Also, it is possible to aggregate the objectives into a scalar cost function using a weighted sum approach or penalty functions

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Physics-Based Surrogate Modeling Using Response Correction, a setup, the primary purpose of the surrogate is to ensure good local alignment with the high-fidelity model, whereas global accuracy of the model is not of a major concern. In a more general setting, i.e., global or quasi-global modeling, the surrogate is to be valid within a larger portion of the

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