Joint operations algorithm for large-scale global optimization
- Submitting institution
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Aberystwyth University / Prifysgol Aberystwyth
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 29467616
- Type
- D - Journal article
- DOI
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10.1016/j.asoc.2015.10.047
- Title of journal
- Applied Soft Computing
- Article number
- -
- First page
- 1025
- Volume
- 38
- Issue
- -
- ISSN
- 1568-4946
- Open access status
- Out of scope for open access requirements
- Month of publication
- October
- Year of publication
- 2015
- URL
-
-
- Supplementary information
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- 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
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2
- Research group(s)
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-
- Citation count
- 22
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Presents a novel meta-heuristic algorithm for large-scale global optimization problems. Attracted funding for support from National Natural Science Foundation of China (NSFC) and published in Applied Soft Computing, a leading outlet for applied CS&I research. Inspired a good number of follow-on developments, including work done by leading scholars from institutions such as Hong Kong Polytechnic University, University of Liverpool, Ghent University, and University of Florida.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -