A biologically inspired network design model
- Submitting institution
-
University of the West of England, Bristol
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 845463
- Type
- D - Journal article
- DOI
-
10.1038/srep10794
- Title of journal
- Scientific Reports
- Article number
- 10794
- First page
- -
- Volume
- 5
- Issue
- -
- ISSN
- 2045-2322
- Open access status
- Out of scope for open access requirements
- Month of publication
- June
- Year of publication
- 2015
- URL
-
http://dx.doi.org/10.1038/srep10794
- 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
-
8
- Research group(s)
-
-
- Citation count
- 16
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Originality: First ever mathematical and computational results on minimisation of transport networks using a model inspired by slime mould P. polycephalum.
Rigour: Results are verified on instances of Mexican and Chinese motorway networks using slime mould inspired, and, independently cellular automaton models. Convergence to a steady state is demonstrated numerically.
Significance: The algorithms were adopted in further optimisation approaches (evidenced by citations) and DHL (USA) analytics services where first author (Xiaoge Zhang) is now employed as leading analyst. Adamatzky was invited as a keynote speaker to XXXII Conference on Design of Circuits and Integrated Systems, DCIS 2017 (Barcelona, Nov 2017).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
