A multi-objective supply chain optimisation using enhanced Bees Algorithm with adaptive neighbourhood search and site abandonment strategy
- Submitting institution
-
Cardiff University / Prifysgol Caerdydd
- Unit of assessment
- 12 - Engineering
- Output identifier
- 95927282
- Type
- D - Journal article
- DOI
-
10.1016/j.swevo.2014.04.002
- Title of journal
- Swarm and Evolutionary Computation
- Article number
- -
- First page
- 71
- Volume
- 18
- Issue
- -
- ISSN
- 2210-6502
- Open access status
- Out of scope for open access requirements
- Month of publication
- April
- Year of publication
- 2014
- URL
-
http://dx.doi.org/10.1016/j.swevo.2014.04.002
- 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)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This research led to a successful KTP award with Brick Fabrication Ltd (KTP009138; £127K; https://info.ktponline.org.uk/action/details/partnership.aspx?id=9138), showcased at the KTP@40 Wales Celebration event and further research with the School of Medicine and Lanner Group Ltd, funded by MRC (£25K) modelling in-patient flow A&E at University Hospital Wales Cardiff.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
