Abstract:Summary. In many engineering optimization problems the number of fitness function evaluations is limited by time and cost. These problems pose a special challenge to the field of evolutionary computation, since existing evolutionary methods require a very large number of problem function evaluations. One innovative way to address this challenge is the application of approximation models as a surrogate of the real fitness function. Thereby two major points have to be considered. The selection of an appropriate … Show more
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