A New Metric for the Analysis of Swarms using Potential Fields
- Submitting institution
-
University of Northumbria at Newcastle
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 22280253
- Type
- D - Journal article
- DOI
-
10.1109/ACCESS.2018.2877421
- Title of journal
- IEEE Access
- Article number
- -
- First page
- 63258
- Volume
- 6
- Issue
- -
- ISSN
- 2169-3536
- Open access status
- Compliant
- Month of publication
- October
- Year of publication
- 2018
- 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
- No
- Number of additional authors
-
2
- Research group(s)
-
E - Intelligent Systems Research Group (iSRG)
- Citation count
- 1
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Analysis of swarm structure has been conducted with limited parameters, relying in particular on distance between agents to determine characteristics such as stability. This paper presents a new technique that considers additional parameters, allowing alternative models to be developed and a larger class of properties to be identified. This change in approach has led to a need for new tools, methodologies and models in swarming.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
