A heuristic distributed task allocation method for multivehicle multitask problems and its application to search and rescue scenario
- Submitting institution
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Loughborough University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 1934
- Type
- D - Journal article
- DOI
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10.1109/TCYB.2015.2418052
- Title of journal
- IEEE Transactions of Cybernetics
- Article number
- -
- First page
- 902
- Volume
- 46
- Issue
- 4
- ISSN
- 2168-2267
- Open access status
- Out of scope for open access requirements
- Month of publication
- April
- 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
- No
- Number of additional authors
-
2
- Research group(s)
-
-
- Citation count
- 52
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This work has impacted the state of the art by proposing an algorithm with a new concept of performance impact about tasks inclusion or removal from an individual vehicle which outperforms the current algorithm CBBA from MIT. It has inspired subsequent work on distributed task allocation with results published on IEEE Trans on Cybernetics, 48(9); IEEE Trans. On Automation Science and Engineering 15(2), 16(1); Applied Intelligence, 49; and flagship conferences in robotics ICRA 2015; and IROS 2015 etc.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -