Adaptive infill sampling strategy for metamodeling: Challenge and future research directions
The widespread use of computer experiments for design optimization has made the issue of reducing computational cost, improving accuracy, removing the “curse of dimensionality” and avoiding expensive function approximation becoming even more important. Metamodeling also known as surrogate modeling,...
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Main Authors: | , , , |
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Format: | Article |
Language: | English |
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Institute of Advanced Engineering
2020
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Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/91183/1/ShahrumShahAbdullah2020_AdaptiveInfillSamplingStrategyforMetamodeling.pdf http://eprints.utm.my/id/eprint/91183/ http://dx.doi.org/10.11591/eei.v9i5.2162 |
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