Evolutionary Algorithms

Evolutionary Algorithms is a class of population-based metaheuristic optimization algorithms that iteratively apply genetic operators such as mutation, crossover, and selection to evolve solutions toward optimal or near-optimal regions in a design space.

18.8K

Publications

1.5M

Citations

32.1K

Authors

5.3K

Institutions

Publications per year

2017–2026

5.8K

Authors

32.1K

  1. YJ
    Yaochu Jin

    University of Surrey, United Kingdom

    116 publications · 24.1K citations

    66

    h-index

  2. XY
    Xin Yao

    University of Birmingham, United Kingdom

    120 publications · 20.4K citations

    56

    h-index

  3. SM
    Seyedali Mirjalili

    Torrens University Australia, Australia

    70 publications · 31.5K citations

    53

    h-index

  4. KD
    Kalyanmoy Deb

    Michigan State University, United States

    113 publications · 26K citations

    53

    h-index

  5. PN
    Ponnuthurai Nagaratnam Suganthan

    Nanyang Technological University, Singapore

    94 publications · 23.6K citations

    50

    h-index

1–5 of 32.1K

Venues

  1. IEEE Transactions on Evolutionary Computation

    579 publications · 147.5K citations

    168

    h-index

  2. Applied Soft Computing

    446 publications · 35.4K citations

    100

    h-index

  3. Expert Systems with Applications

    291 publications · 27.4K citations

    86

    h-index

  4. Information Sciences

    266 publications · 23K citations

    82

    h-index

  5. IEEE Transactions on Cybernetics

    168 publications · 19.1K citations

    80

    h-index

1–5