Robust Metaheuristic Optimization

Robust Metaheuristic Optimization is a computational optimization framework that integrates metaheuristic search strategies with robustness evaluation under uncertainty, distinguishing itself by simultaneously addressing global exploration and solution reliability in stochastic or variable environments.

78

Publications

5.2K

Citations

259

Authors

161

Institutions

Publications per year

2017–2026

40

Authors

259

  1. AM
    Andrew M. Sutton

    Colorado State University, United States

    3 publications · 75 citations

    3

    h-index

  2. TK
    Timo Kötzing

    Hasso Plattner Institute, Germany

    2 publications · 42 citations

    2

    h-index

  3. OH
    O. Hasançebi

    Middle East Technical University, Türkiye

    2 publications · 57 citations

    2

    h-index

  4. FA
    Fatma A. Hashim

    Helwan University, Egypt

    2 publications · 131 citations

    2

    h-index

  5. WY
    Wei Yan

    Xiangtan University, China

    2 publications · 42 citations

    2

    h-index

1–5 of 259

Venues

  1. Soft Computing

    2 publications · 43 citations

    2

    h-index

  2. Electronics

    2 publications · 125 citations

    2

    h-index

  3. IEEE Access

    2 publications · 38 citations

    2

    h-index

  4. Mathematics

    2 publications · 229 citations

    2

    h-index

  5. Expert Systems with Applications

    2 publications · 130 citations

    2

    h-index

1–5