Weighted bee colony algorithm for discrete optimization problems with application to feature selection
- Submitting institution
-
Aberystwyth University / Prifysgol Aberystwyth
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 6724190
- Type
- D - Journal article
- DOI
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10.1016/j.engappai.2015.06.003
- Title of journal
- Engineering Applications of Artificial Intelligence
- Article number
- -
- First page
- 153
- Volume
- 44
- Issue
- -
- ISSN
- 0952-1976
- Open access status
- Out of scope for open access requirements
- Month of publication
- June
- Year of publication
- 2015
- 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
-
3
- Research group(s)
-
-
- Citation count
- 19
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This is a key output of a multi-national project, involving researchers from Australia, Denmark, UK and USA, published in EAAI, the leading AI application journal in Engineering. The work has led to application in microtask allocation in crowdsourcing (Moayedikia, 2016). Led to other developments and improvements in the area of swarm intelligence in many countries, such as Mexico (Castillo et al., 2019), Jordan (Faris et al., 2018), Spain (Osaba et al., 2016), Malaysia (Abualigah et al., 2018), and Egypt (Sayed et al., 2018).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -