Space mapping: a novel and modeling methodology

The authors review the space mapping (SM) and the SM-based surrogate (modeling) concepts and their applications in engineering modeling and design optimization. The aim of SM is to achieve a satisfactory solution with a minimal number of computationally expensive "fine" model evaluations. SM procedures iteratively update and optimize surrogates based on a fast physically-based "coarse" model. Also review the original, aggressive and implicit SM (ISM) techniques. A "cheese-cutting" problem illustrates the ISM concept. Significant recent practical applications are reviewed.