A hyper-heuristic ensemble method for static job-shop scheduling.
- Submitting institution
-
Edinburgh Napier University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 1110879
- Type
- D - Journal article
- DOI
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10.1162/EVCO_a_00183
- Title of journal
- Evolutionary Computation
- Article number
- -
- First page
- 609
- Volume
- 24
- Issue
- 4
- ISSN
- 1063-6560
- Open access status
- Compliant
- 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
- No
- Number of additional authors
-
1
- Research group(s)
-
-
- Citation count
- 22
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- TThe paper describes a novel ensemble based method of solving large set of instances. Representative of body work from EPSRC EP/J021628/1 that led to award of Leverhulme Fellowship [Hart] “Ensembles for Optimisation”. It established a reputation for the team in ensemble based heuristic methods that led e.g. to invites to an invitation only international workshop at Lorentz Centre (2020) and to a Dagsthul seminar (2021) on Benchmarking Optimisation Heuristics.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -