RK-EDA: a novel random key based estimation of distribution algorithm.
- Submitting institution
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Robert Gordon University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- McCall_2
- Type
- E - Conference contribution
- DOI
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10.1007/978-3-319-45823-6_79
- Title of conference / published proceedings
- Lecture notes in computer science
- First page
- 849
- Volume
- -
- Issue
- -
- ISSN
- -
- Open access status
- -
- Month of publication
- August
- Year of publication
- 2016
- URL
-
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- Supplementary information
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- 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
-
-
- Research group(s)
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- Citation count
- 11
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Shown in later papers to be performing at state-of-the-art on very large permutation flowshop problems, RK-EDA has since achieved state-of-the-art performance on project scheduling problems. RK-EDA has been successfully incorporated in supply vessel fleet planning software for the oil-and-gas industry by RGU spin out PlanSea Ltd. (www.plansea.co.uk contact: jim@plansea.co.uk, Mr. James Cargill) with potential for significant savings and was featured on the OGTC industry YouTube channel (https://www.youtube.com/watch?v=9afzHcv8FeY). McCall jointly chairs the leading ECPERM workshop on permutation algorithms (https://gecco-2020.sigevo.org/index.html/Workshops#id_Evolutionary%20Computation%20for%20Permutation%20Problems). This work led to collaborative work (PhD project at RGU) with University of the Basque Country (https://www3.rgu.ac.uk/dmstaff/alza-santos-joan).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
