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 |
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Sprache: | eng |
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