A surrogate model assisted evolutionary algorithm for computationally expensive design optimization problems with discrete variables
- Submitting institution
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Wrexham Glyndŵr University / Prifysgol Glyndŵr Wrecsam
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 11-15
- Type
- E - Conference contribution
- DOI
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10.1109/CEC.2016.7743986
- Title of conference / published proceedings
- 2016 IEEE Congress on Evolutionary Computation (CEC)
- First page
- 1650
- Volume
- -
- Issue
- -
- ISSN
- -
- Open access status
- -
- Month of publication
- July
- Year of publication
- 2016
- URL
-
https://ieeexplore.ieee.org/abstract/document/7743986
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
4
- Research group(s)
-
-
- Citation count
- 4
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- -
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
