Section 1.4 enumerated some common features of target applications of BBO. A recurring difficulty in such applications originates from the fact that the evaluation of the objective and constraint functions is computationally expensive. In some situations, a surrogate optimization problem is available.
That is, a problem that is considerably cheaper to evaluate and provides some insight on the true optimization problem. This chapter discusses ways of exploiting a surrogate problem as a copilot for an optimization algorithm.
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