Parallel Evolutionary Computation

Parallel Evolutionary Computation is an evolutionary optimization paradigm that belongs to the class of population-based metaheuristic algorithms, distinguished by the concurrent execution of evolutionary operations across multiple processing units or subpopulations to enhance search efficiency and solution quality.

627

Publications

30.3K

Citations

1.4K

Authors

616

Institutions

Publications per year

2017–2026

104

Authors

1.4K

  1. EA
    Enrique Alba

    Universidad de Málaga, Spain

    10 publications · 1.3K citations

    10

    h-index

  2. CA
    Carlos A. Coello Coello

    Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional, Mexico

    8 publications · 396 citations

    8

    h-index

  3. DS
    Dirk Sudholt

    University of Sheffield, United Kingdom

    8 publications · 321 citations

    8

    h-index

  4. TH
    Tomoyuki Hiroyasu

    Doshisha University, Japan

    7 publications · 174 citations

    7

    h-index

  5. MM
    Mitsunori Miki

    Doshisha University, Japan

    7 publications · 174 citations

    7

    h-index

1–5 of 1.4K

Venues

  1. Applied Soft Computing

    11 publications · 370 citations

    11

    h-index

  2. IEEE Transactions on Evolutionary Computation

    11 publications · 2.2K citations

    11

    h-index

  3. international conference on Genetic algorithms

    Conference · 10 publications · 1.2K citations

    10

    h-index

  4. Parallel Computing

    10 publications · 701 citations

    10

    h-index

  5. Journal of Parallel and Distributed Computing

    9 publications · 424 citations

    9

    h-index

1–5