A choice function hyper-heuristic framework for the allocation of maintenance tasks in Danish railways
- Submitting institution
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Queen Mary University of London
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 2569
- Type
- D - Journal article
- DOI
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10.1016/j.cor.2017.09.011
- Title of journal
- Computers & Operations Research
- Article number
- -
- First page
- 15
- Volume
- 93
- Issue
- -
- ISSN
- 0305-0548
- Open access status
- Compliant
- Month of publication
- September
- Year of publication
- 2017
- 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
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2
- Research group(s)
-
-
- Citation count
- 6
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- A real-world maintenance problem from the Danish railway system is introduced. Three methods are used to generate an initial set of task allocations for each crew. Tasks that are distant from the other tasks of a crew member are identified as outliers. A choice function-based selection hyper-heuristic is used to reassign outlying tasks. Results of two hyper-heuristics are presented over 12 benchmark problem instances. Partially funded by the EPSRC programme grant EP/J017515/1. International collaboration with researcher from Technical University of Denmark (DTU).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -