Variable surrogate model-based particle swarm optimization for high-dimensional expensive problems
Variable surrogate model-based particle swarm optimization for high-dimensional expensive problems
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Publisher
Cham: Springer International Publishing
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Language
English
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Cham: Springer International Publishing
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Contents
Many industrial applications require time-consuming and resource-intensive evaluations of suitable solutions within very limited time frames. Therefore, many surrogate-assisted evaluation algorithms (SAEAs) have been widely used to optimize expensive problems. However, due to the curse of dimensionality and its implications, scaling SAEAs to high-d...
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Full title
Variable surrogate model-based particle swarm optimization for high-dimensional expensive problems
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TN_cdi_doaj_primary_oai_doaj_org_article_47afe221365e43aaa96399d53ac9ac79
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_47afe221365e43aaa96399d53ac9ac79
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ISSN
2199-4536
E-ISSN
2198-6053
DOI
10.1007/s40747-022-00910-7
