A Heuristic Distributed Task Allocation Method for Multivehicle Multitask Problems and Its Application to Search and Rescue Scenario
- Submitting institution
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The University of East Anglia
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 183394965
- Type
- D - Journal article
- DOI
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10.1109/TCYB.2015.2418052
- Title of journal
- IEEE Transactions on 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
- 2016
- 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
-
2
- Research group(s)
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-
- Citation count
- 52
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This work proposes a distributed task allocation method for multivehicle cooperation problems, for the first time, explicitly optimising the global cost while considering task synergy effects. Empirical evaluations showed how the method identified previously unidentified better solutions. This has led to a new thread of research around performance impact and many extensions at Loughborough and other universities, including a portfolio of IEEE Transactions publications (10.1109/TASE.2017.2679278, 10.1109/TCYB.2017.2743164, 10.1109/TASE.2018.2866395) and successful grant applications (AgriRobot, £500K, IUK and YOBAN, £790K, Newton Fund). The work was funded by EPSRC and collaborated with BAE Systems, sparking lots of interests including those from Nanyang Technological University.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -