SAFE: Scale-Adaptive Fitness Evaluation Method for Expensive Optimization Problems

The key challenge of expensive optimization problems (EOP) is that evaluating the true fitness value of the solution is computationally expensive. A common method to deal with this issue is to seek for a less expensive surrogate model to replace the original expensive objective function. However, th...

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Veröffentlicht in:IEEE transactions on evolutionary computation 2021-06, Vol.25 (3), p.478-491
Hauptverfasser: Wu, Sheng-Hao, Zhan, Zhi-Hui, Zhang, Jun
Format: Artikel
Sprache:eng
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