Premature Convergence

Premature Convergence is a phenomenon in population-based search within genetic algorithms wherein the population loses genetic diversity too early in the optimization process, leading to suboptimal convergence toward a local rather than global optimum.

1.3K

Publications

78.1K

Citations

3.6K

Authors

1.1K

Institutions

Publications per year

2017–2026

524

Authors

3.6K

  1. PN
    Ponnuthurai Nagaratnam Suganthan

    Nanyang Technological University, Singapore

    11 publications · 4.3K citations

    11

    h-index

  2. EH
    Essam H. Houssein

    Minia University, Egypt

    9 publications · 583 citations

    9

    h-index

  3. YZ
    Yongquan Zhou

    Guangxi Minzu University, China

    10 publications · 808 citations

    9

    h-index

  4. SM
    Seyedali Mirjalili

    Torrens University Australia, Australia

    9 publications · 1.8K citations

    9

    h-index

  5. LA
    Laith Abualigah

    Universiti Sains Malaysia, Malaysia

    8 publications · 427 citations

    8

    h-index

1–5 of 3.6K

Venues

  1. IEEE Access

    70 publications · 4.2K citations

    30

    h-index

  2. IEEE Transactions on Evolutionary Computation

    21 publications · 9.1K citations

    20

    h-index

  3. Mathematical Problems in Engineering

    MPE · 23 publications · 809 citations

    18

    h-index

  4. Energies

    16 publications · 725 citations

    15

    h-index

  5. Mathematics

    15 publications · 550 citations

    14

    h-index

1–5