Genetic Algorithm Portfolio Selection

Genetic Algorithm Portfolio Selection is a portfolio selection method that employs genetic algorithms—a class of evolutionary optimization techniques—to identify optimal or near-optimal asset allocations by iteratively evolving candidate solutions through processes analogous to natural selection, recombination, and mutation.

189

Publications

11.4K

Citations

450

Authors

236

Institutions

Publications per year

2017–2026

51

Authors

450

  1. CC
    Chun-Hao Chen

    Tamkang University, Taiwan

    6 publications · 121 citations

    6

    h-index

  2. WY
    Wei Yan

    Xiangtan University, China

    4 publications · 77 citations

    4

    h-index

  3. CD
    Christopher D. Clack

    University College London, United Kingdom

    4 publications · 77 citations

    4

    h-index

  4. KJ
    Kyong Joo Oh

    Yonsei University, South Korea

    4 publications · 351 citations

    4

    h-index

  5. NB
    Nebojša Bačanin

    Singidunum University, Serbia

    3 publications · 117 citations

    3

    h-index

1–5 of 450

Venues

  1. Expert Systems with Applications

    19 publications · 1.5K citations

    17

    h-index

  2. Applied Soft Computing

    6 publications · 313 citations

    6

    h-index

  3. IEEE Access

    5 publications · 184 citations

    5

    h-index

  4. European Journal of Operational Research

    4 publications · 367 citations

    4

    h-index

  5. Knowledge-Based Systems

    3 publications · 114 citations

    3

    h-index

1–5