Refinement Strategy Optimization

Refinement Strategy Optimization is a computational methodology within adaptive mesh refinement that systematically enhances the selection and placement of refined regions by minimizing computational cost and maximizing solution accuracy through adaptive criteria and error estimation.

36

Publications

1.6K

Citations

141

Authors

69

Institutions

Publications per year

2017–2026

16

Authors

141

  1. KH
    Kaija H. Valkonen

    University of Oulu, Finland

    1 publications · 25 citations

    1

    h-index

  2. OS
    Olga Sorkine‐Hornung

    ETH Zurich, Switzerland

    1 publications · 32 citations

    1

    h-index

  3. JN
    Jacek Naruniec

    Warsaw University of Technology, Poland

    1 publications · 149 citations

    1

    h-index

  4. HS
    Hao Shen

    Anhui Agricultural University, China

    1 publications · 46 citations

    1

    h-index

  5. YH
    Yang Huang

    Nanjing University of Aeronautics and Astronautics, China

    1 publications · 70 citations

    1

    h-index

1–5 of 141

Venues

  1. Applied Soft Computing

    2 publications · 55 citations

    2

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  2. 2

    h-index

  3. Computers and Electronics in Agriculture

    1 publications · 11 citations

    1

    h-index

  4. Nuclear Engineering and Design

    1 publications · 12 citations

    1

    h-index

  5. Reliability Engineering & System Safety

    1 publications · 22 citations

    1

    h-index

1–5