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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Bibliographic Details
Main Authors: Che Razali, Che Munira, Abdullah, Shahrum Shah, Parnianifard, Amir, Faruq, Amrul
Format: Article
Language:English
Published: Institute of Advanced Engineering 2020
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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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Institution: Universiti Teknologi Malaysia
Language: English

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