@article{711822,
      recid = {711822},
      author = {Koziel, Slawomir, and Leifsson, Leifur, and Yang,  Xin-She,},
      title = {Solving computationally expensive engineering problems  methods and applications / [electronic resource] :},
      pages = {1 online resource},
      abstract = {Computational complexity is a serious bottleneck for the  design process in virtually any engineering area. While  migration from prototyping and experimental-based design  validation to verification using computer simulation models  is inevitable and has a number of advantages, high  computational costs of accurate, high-fidelity simulations  can be a major issue that slows down the development of  computer-aided design methodologies, particularly those  exploiting automated design improvement procedures, e.g.,  numerical optimization. The continuous increase of  available computational resources does not always translate  into shortening of the design cycle because of the growing  demand for higher accuracy and necessity to simulate larger  and more complex systems. Accurate simulation of a single  design of a given system may be as long as several hours,  days or even weeks, which often makes design automation  using conventional methods impractical or even prohibitive.  Additional problems include numerical noise often present  in the simulation data, possible presence of multiple  locally optimum designs, as well as multiple conflicting  objectives. In this edited book, various techniques that  can alleviate solving computationally expensive engineering  design problems are presented. One of the most promising  approaches is the use of fast replacement models, so-called  surrogates, that reliably represent the expensive,  simulation-based model of the system/device of interest but  they are much cheaper and analytically tractable. Here, a  group of international experts summarize recent  developments in the area and demonstrate applications in  various disciplines of engineering and science. The main  purpose of the work is to provide the basic concepts and  formulations of the surrogate-based modeling and  optimization paradigm, as well as discuss relevant modeling  techniques, optimization algorithms and design procedures.  Therefore, this book should be useful to researchers and  engineers from any discipline where computationally heavy  simulations are used on daily basis in the design process.},
      url = {http://library.usi.edu/record/711822},
}