Population Based Design Optimization

Population Based Design Optimization is a computational design methodology that iteratively evolves a population of candidate solutions through selection, crossover, and mutation operators to optimize design performance in the context of Evolutionary Product Design.

658

Publications

44.8K

Citations

1.6K

Authors

624

Institutions

Publications per year

2017–2026

128

Variants

Pbdo

Authors

1.6K

  1. LT
    Layne T. Watson

    Virginia Tech, United States

    7 publications · 523 citations

    7

    h-index

  2. RT
    Raphael T. Haftka

    University of Florida, United States

    6 publications · 544 citations

    5

    h-index

  3. MS
    M.P. Saka

    University of Bahrain, Bahrain

    5 publications · 246 citations

    5

    h-index

  4. GP
    Grant P. Steven

    The University of Sydney, Australia

    5 publications · 3K citations

    5

    h-index

  5. KD
    Kalyanmoy Deb

    Michigan State University, United States

    5 publications · 264 citations

    5

    h-index

1–5 of 1.6K

Venues

  1. Structural and Multidisciplinary Optimization

    23 publications · 982 citations

    18

    h-index

  2. Computers & Structures

    16 publications · 5K citations

    16

    h-index

  3. 13

    h-index

  4. Advances in Engineering Software

    13 publications · 6.7K citations

    12

    h-index

  5. Computers & Industrial Engineering

    12 publications · 473 citations

    12

    h-index

1–5