Pareto or Non-Pareto: Bi-Criterion Evolution in Multiobjective Optimization
- Submitting institution
-
De Montfort University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 11274
- Type
- D - Journal article
- DOI
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10.1109/TEVC.2015.2504730
- Title of journal
- IEEE Transactions on Evolutionary Computation
- Article number
- -
- First page
- 645
- Volume
- 20
- Issue
- 5
- ISSN
- 1089-778X
- Open access status
- Compliant
- Month of publication
- December
- 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
-
2
- Research group(s)
-
-
- Citation count
- 92
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- BCE has been widely used by other academics as a state-of-the-art algorithm for comparing their algorithms for solving multi-objective optimisation problems [top 5% in terms of citations in WoS by Clarivate Analytics]. This work has led to several invited talks, e.g., at University of Science and Technology of China (17 August, 2018) and China University of Geoscience (8 April, 2018)
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -