A Modified Ant Colony Optimization Algorithm for Network Coding Resource Minimization
- Submitting institution
-
University of Nottingham, The
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 1327393
- Type
- D - Journal article
- DOI
-
10.1109/TEVC.2015.2457437
- Title of journal
- IEEE Transactions on Evolutionary Computation
- Article number
- -
- First page
- 325
- Volume
- 20
- Issue
- 3
- ISSN
- 1089-778X
- Open access status
- Out of scope for open access requirements
- Month of publication
- July
- Year of publication
- 2015
- 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
-
5
- Research group(s)
-
-
- Citation count
- 34
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Based on the novel network coding theory devised in 2003, optimisation of multicast network routing presents the new challenge of supporting secure and efficient telecommunication in fast-increasing applications. The significance of the work arises from new and best results which contribute not only to optimisation, but also efficient communication algorithms in information science. The work has attracted research attention in a wide range of related areas, including multimodal optimization problems, cloud resource optimisation, distributed systems, navigation, remote sensing, and software-defined networks.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
