Stability analysis of Artificial Bee Colony optimization algorithm
- Submitting institution
-
Liverpool Hope University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- AKN45C
- Type
- D - Journal article
- DOI
-
10.1016/j.swevo.2018.01.003
- Title of journal
- Swarm and Evolutionary Computation
- Article number
- -
- First page
- 9-19
- Volume
- 41
- Issue
- -
- ISSN
- 2210-6502
- Open access status
- Compliant
- Month of publication
- August
- Year of publication
- 2018
- 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
- Yes
- Number of additional authors
-
2
- Research group(s)
-
M - Mathematical Sciences Research (MSR)
- Citation count
- 17
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This is a first attempt to analyze the stability of Artificial Bee Colony (ABC)
Algorithm. The significance is that:
a). the stability analysis suggests the most optimal choice of parameters of ABC algorithm so that the best possible solution can be obtained.
b). The stability of the discrete version of ABC algorithm can be done in a similar way.
Research work is a growing collaborative relationship with Dr. Bansal of the South Asian University (New Delhi) who is one of the visiting research fellows in the School of Mathematics, Computer Science and Engineering.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
