Gene Expression Programming

Gene Expression Programming is a computational evolutionary algorithm framework that belongs to the broader class of Genetic Programming methods, distinguished by its use of linear chromosomes of fixed length to encode complex programs or mathematical models which are subsequently expressed as expression trees through a process of genotype-to-phenotype mapping.

700

Publications

44.3K

Citations

2.3K

Authors

885

Institutions

Publications per year

2017–2026

406

Variants

Gep

Authors

2.3K

  1. ÖK
    Özgür Kişi

    Ilia State University, Georgia

    24 publications · 1.1K citations

    19

    h-index

  2. MF
    Muhammad Faisal Javed

    COMSATS University Islamabad, Pakistan

    20 publications · 2.2K citations

    19

    h-index

  3. JS
    Jalal Shiri

    University of Tabriz, Iran

    20 publications · 993 citations

    18

    h-index

  4. HM
    Hazi Mohammad Azamathulla

    Universiti Sains Malaysia, Malaysia

    21 publications · 837 citations

    18

    h-index

  5. MN
    Muhammad Nasir Amin

    King Faisal University, Saudi Arabia

    15 publications · 1.1K citations

    14

    h-index

1–5 of 2.3K

Venues

  1. Materials

    18 publications · 920 citations

    16

    h-index

  2. Proceedings of the National Academy of Sciences

    PNAS · 15 publications · 2.8K citations

    15

    h-index

  3. Case Studies in Construction Materials

    13 publications · 547 citations

    13

    h-index

  4. Water Science & Technology Water Supply

    12 publications · 277 citations

    11

    h-index

  5. Neural Computing and Applications

    11 publications · 471 citations

    11

    h-index

1–5