… In this chapter, we review the basics of surrogate-based optimization. We briefly present …
A few selected surrogate-based optimization algorithms including space mapping [1,5,6], …

… coupled to a method of evaluation, the first step in the surrogate-based optimization process
… of results coming from surrogate-based searches. We will not cover such methods here and …

… In this context, the so-called surrogate-based approach for analysis and optimization can
play a very valuable role. The surrogates are constructed using data drawn from high-fidelity …

… search methods, heuristic methods, methods based on integer programming, methods relying
on model fitness measures, Bayesian variable selection methods, and methods based on …

… The methods we will present are based on the construction of surrogate models to … These
methods are often called surrogate-based methods. In this paper, we will mainly focus on …

… methods which can be classified into two categories:“classic” DoE methods and “modern” DoE
methods. … A more detailed description of existing DoE methods is beyond the scope of this …

… multiple surrogates and selecting the best surrogate based on some criteria using a …
methods to select an appropriate model form for use in surface approximation and surrogate-based …

… method, which is an effective method to determine the biasing distribution in IS. We demonstrate
that, by combining with the CE method, a surrogate-based … CE-IS method. In many cases…

… ” methods for process synthesis can be more powerful than sequential-conceptual methods
… However, these methods have not been widely adopted because they lead to mixed-integer …

… In this tutorial, we provide an up-to-date overview of surrogatebased methods for simulation
optimization with continuous decision variables. Typical surrogates, including linear basis …