Multiobjective Differential Evolution

Multiobjective Differential Evolution is a population-based evolutionary optimization algorithm that extends the differential evolution framework to simultaneously optimize multiple conflicting objectives by employing nondominated sorting and diversity preservation mechanisms to approximate the Pareto optimal front.

627

Publications

37.6K

Citations

1.7K

Authors

672

Institutions

Publications per year

2017–2026

275

Authors

1.7K

  1. BQ
    Boyang Qu

    Zhongyuan University of Technology, China

    15 publications · 1.5K citations

    14

    h-index

  2. JL
    Jing Liang

    Zhengzhou University, China

    13 publications · 1.3K citations

    12

    h-index

  3. DM
    Dan M. Ionel

    University of Kentucky, United States

    10 publications · 457 citations

    10

    h-index

  4. BV
    B. V. Babu

    Birla Institute of Technology and Science, Pilani, India

    10 publications · 654 citations

    10

    h-index

  5. PN
    Ponnuthurai Nagaratnam Suganthan

    Nanyang Technological University, Singapore

    10 publications · 2.2K citations

    10

    h-index

1–5 of 1.7K

Venues

  1. Applied Soft Computing

    35 publications · 2.3K citations

    25

    h-index

  2. Information Sciences

    20 publications · 1.1K citations

    18

    h-index

  3. 16

    h-index

  4. Swarm and Evolutionary Computation

    19 publications · 2.7K citations

    16

    h-index

  5. Expert Systems with Applications

    14 publications · 1.2K citations

    13

    h-index

1–5