Optimising discrete dynamic berth allocations in seaports using a Levy Flight based meta-heuristic
- Submitting institution
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Liverpool John Moores University
- Unit of assessment
- 12 - Engineering
- Output identifier
- 1213
- Type
- D - Journal article
- DOI
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10.1016/j.swevo.2018.10.011
- Title of journal
- Swarm and Evolutionary Computation
- Article number
- -
- First page
- 1003
- Volume
- 44
- Issue
- -
- ISSN
- 2210-6502
- Open access status
- Access exception
- Month of publication
- October
- Year of publication
- 2018
- URL
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- Supplementary information
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- Request cross-referral to
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- 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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5
- Research group(s)
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B - LOOM
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This work was supported by BEIS-Newton Fund Institutional Links (grant no. 172734213, £300k, 2015-17). The work has helped the Port of Liverpool (Peel Ports) to identify the KPIs necessary to optimise its lock system, which is the entrance to the main terminal and is essential to maintaining a large throughput approaching 1 million twenty-foot equivalent container units (TEUs) (G. Hodgson, Director, gary.hodgson@peelports.com). The application of the research in Vietnam was Highly Commended in the 2017 Newton Prize (www.newtonfund.ac.uk/newtonprize/projects/). It has also led to support from the Newton Research Collaboration Programme (grant no. NRCP1516-1-134, £100k, 2016-2017).
- Author contribution statement
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- Non-English
- No
- English abstract
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