A novel hybrid adaptive Kriging and water cycle algorithm for reliability-based design and optimization strategy: Application in offshore wind turbine monopile
University of Electronic Science and Technology of China · Universidade do Porto · +2 more institutions
Indexed incrossref
Abstract
No abstract available for this paper.
Citation impact
186
total citations
- FWCI
- 44.45
- Percentile
- 100%
- References
- 90
Citations per year
Authors
5- DMDebiao MengCorresponding
University of Electronic Science and Technology of China
- SYShiyuan Yang
University of Electronic Science and Technology of China
- AMAbílio M.P. De Jesus
Universidade do Porto, Institute of Mechanical Engineering and Industrial Mangement
- TFTiago Fazeres-Ferradosa
Universidade do Porto, Centro Interdisciplinar de Investigação Marinha e Ambiental
- SZShun‐Peng ZhuCorresponding
University of Electronic Science and Technology of China
Topics & keywords
Topics
Keywords
- Kriging
- Mathematical optimization
- Computer science
- Global optimization
- Turbine
- Metaheuristic
- Decoupling (probability)
- Engineering design process
UN Sustainable Development Goals
- Affordable and clean energy
No related works found for this paper.
Funding
- NNNational Natural Science Foundation of ChinaAward: 12232004
- CPChina Postdoctoral Science FoundationAward: 2021M700693
- DODepartment of Science and Technology of Sichuan Province
- SPSichuan Province Science and Technology Support ProgramAwards: 2022JDJQ0024, 2022YFQ0087
- MPMajor Projects of Guangdong Education Department for Foundation Research and Applied ResearchAward: 2022A1515240010
- BABasic and Applied Basic Research Foundation of Guangdong Province