Automated Multi-Objective Calibration of Biological Agent-Based Simulations
- Submitting institution
-
University of Sunderland
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 980
- Type
- D - Journal article
- DOI
-
10.1098/rsif.2016.0543
- Title of journal
- Journal of the Royal Society Interface
- Article number
- 20160543
- First page
- -
- Volume
- 13
- Issue
- 122
- ISSN
- 1742-5689
- Open access status
- Technical exception
- Month of publication
- September
- Year of publication
- 2016
- URL
-
http://sure.sunderland.ac.uk/id/eprint/10846/
- 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
-
3
- Research group(s)
-
-
- Citation count
- 7
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper provided the technical input to an InnovateUK project for Simomics Ltd, with AstraZeneca, to develop virtual laboratories, see https://www.simomics.com/offerings which resulted in the commercial tool Virtual Fish Ecotoxicology Lab. This work itself is now the technical backbone of a funded Innovative Medicines Initiative programme for 6 years starting Sept. 2020 involving major pharmaceutical companies from across Europe https://imi-premier.eu/
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -