Stringency Tuning

Stringency Tuning is a methodological framework within selection pressure design that systematically adjusts the rigor or threshold of selective forces in evolutionary or learning processes to optimize the balance between exploration and exploitation in adaptive systems.

4

Publications

272

Citations

12

Authors

5

Institutions

Publications per year

2017–2026

1

Authors

12

  1. GA
    Garri A. Arzumanyan

    University of California, Irvine, United States

    1 publications · 70 citations

    1

    h-index

  2. LJ
    Lili Jiang

    Umeå University, Sweden

    1 publications · 17 citations

    1

    h-index

  3. ZZ
    Ziwei Zhong

    University of California, Irvine, United States

    1 publications · 70 citations

    1

    h-index

  4. MP
    Mara Prentiss

    Harvard University, United States

    1 publications · 17 citations

    1

    h-index

  5. DR
    David R. Liu

    Harvard University, United States

    1 publications · 175 citations

    1

    h-index

1–5 of 12

Venues

  1. Physical Review E

    PRE · 1 publications · 17 citations

    1

    h-index

  2. 1

    h-index

  3. ACS Synthetic Biology

    1 publications · 70 citations

    1

    h-index

  4. Nature Chemical Biology

    1 publications · 175 citations

    1

    h-index

1–4