Curse and Blessing of Uncertainty in Evolutionary Algorithm Using Approximation

Abstract

Evolutionary frameworks that employ approximation models or surrogates for solving optimization problems with computationally expensive fitness functions may be referred as surrogate-assisted evolutionary algorithms (SAEA). In this paper, we present a study on the effects of uncertainty in the surrogate on SAEA. In particular, we focus on both the 'curse of… (More)
DOI: 10.1109/CEC.2006.1688677

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