Data-Driven Evolutionary Algorithm With Perturbation-Based Ensemble Surrogates
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Li, J, Zhang, Z, Wang, Hua 
ORCID: 0000-0002-8465-0996 and Zhang, Jun ORCID: 0000-0001-7835-9871
(2020)
Data-Driven Evolutionary Algorithm With Perturbation-Based Ensemble Surrogates.
IEEE Transactions on Cybernetics.
ISSN 2168-2267
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| Item type | Article |
| URI | https://vuir.vu.edu.au/id/eprint/42263 |
| DOI | 10.1109/tcyb.2020.3008280 |
| Official URL | https://ieeexplore.ieee.org/document/9163270 |
| Subjects | Historical > FOR Classification > 0801 Artificial Intelligence and Image Processing Historical > FOR Classification > 1202 Building Current > Division/Research > College of Science and Engineering Current > Division/Research > Institute for Sustainable Industries and Liveable Cities |
| Keywords | DDEA-PES; genetic algorithm; data perturbation; ensemble surrogate model; building; surrogate quality |
| Citations in Scopus | 44 - View on Scopus |
| Download/View statistics | View download statistics for this item |
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