Adaptive Surface Geometry

Adaptive Surface Geometry is a mathematical framework that characterizes the topological and metric properties of adaptive landscapes, distinguishing itself by formalizing the geometric structure of fitness or performance surfaces in relation to evolutionary or learning dynamics.

13

Publications

353

Citations

36

Authors

19

Institutions

Publications per year

2017–2026

5

Authors

36

  1. WS
    W. Scott Armbruster

    University of Alaska Fairbanks, United States

    1 publications · 88 citations

    1

    h-index

  2. YZ
    Yu‐Wei Zhang

    Qilu University of Technology, China

    1 publications · 56 citations

    1

    h-index

  3. GP
    Gary P. T. Choi

    Harvard University, United States

    1 publications · 17 citations

    1

    h-index

  4. DJ
    David J. Walker

    Instituto Murciano de Investigación Biosanitaria, Spain

    1 publications · 12 citations

    1

    h-index

  5. SY
    Seog-Young Yoon

    Pusan National University, South Korea

    1 publications · 14 citations

    1

    h-index

1–5 of 36

Venues

  1. Computers in Industry

    1 publications · 13 citations

    1

    h-index

  2. Chemical Science

    1 publications · 34 citations

    1

    h-index

  3. Computer Graphics Forum

    1 publications · 56 citations

    1

    h-index

  4. Experimental Mathematics

    1 publications · 16 citations

    1

    h-index

  5. 1

    h-index

1–5