COVID-19 optimizer algorithm, modeling and controlling of coronavirus distribution process
- Submitting institution
-
University of Wolverhampton
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 1673
- Type
- D - Journal article
- DOI
-
10.1109/JBHI.2020.3012487
- Title of journal
- IEEE Journal of Biomedical and Health Informatics
- Article number
- -
- First page
- 2765
- Volume
- 24
- Issue
- 10
- ISSN
- 2168-2194
- Open access status
- Compliant
- Month of publication
- July
- Year of publication
- 2020
- URL
-
-
- 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
- Yes
- Number of additional authors
-
4
- Research group(s)
-
-
- Citation count
- 1
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The study has introduced an efficient optimiser algorithm that could solve one of the optimisation issues that mainly faced by cyber professionals, its concept has been utilised to manage their stressful work’s schedule. This new optimisation strategy has been translated into a funded UKRI project with £91K under the Cyber security academic start-up accelerator programme year 4 phase 2.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -