Gravitational swarm optimizer for global optimization
- Submitting institution
-
Liverpool Hope University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- AKN25D
- Type
- D - Journal article
- DOI
-
10.1016/j.swevo.2016.07.003
- Title of journal
- Swarm and Evolutionary Computation
- Article number
- -
- First page
- 64-89
- Volume
- 31
- Issue
- -
- ISSN
- 2210-6502
- Open access status
- Compliant
- Month of publication
- December
- 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
- Yes
- Number of additional authors
-
3
- Research group(s)
-
I - Intelligent and Distributed Systems (IDS)
- Citation count
- 16
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This work was initiated during Nagar's sabbatical visit on a fully-funded Indian Government's "Human Resource Development in Mathematics” grant jointly supported by the Science and Engineering Research Board (SERB) and DST-India; grant No. SR/S4/MS:559/08.); 2013/14. IIT Roorkee (Prod Deep) was the host. Nagar also worked with South Asian University (Dr. Bansal) and Jadavpur University (Prof Konar).
The proposed algorithm is unique as it is integrated with an efficient constrained handling mechanism. It is for the very first time an ensemble of gravitation search algorithm and shrinking hypersphere based PSO is used to produce a highly efficient optimization algorithm.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
