A Strength Pareto Evolutionary Algorithm Based on Reference Direction for Multiobjective and Many-Objective Optimization
- Submitting institution
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De Montfort University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 11272
- Type
- D - Journal article
- DOI
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10.1109/TEVC.2016.2592479
- Title of journal
- IEEE Transactions on Evolutionary Computation
- Article number
- -
- First page
- 329
- Volume
- 21
- Issue
- 3
- ISSN
- 1089-778X
- Open access status
- Compliant
- Month of publication
- -
- Year of publication
- 2017
- 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
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1
- Research group(s)
-
-
- Citation count
- 109
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The algorithm developed has become a state-of-the-art algorithm for solving multi-objective and many-objective optimization problems. Since its publication in 2017, this paper has been classed as highly cited by Clarivate Analytics and has led to several invited talks, including a keynote at the Workshop on Advances in Multi-objective Optimisation and its Applications, Shenzhen, China, 20-21 August, 2018 [150+ participants].
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -