Search Simulation Modeling

Search Simulation Modeling is a computational methodology that belongs to the class of search planning techniques, distinguished by its use of simulated environments and probabilistic models to evaluate, optimize, and predict the effectiveness of search strategies under uncertain conditions.

36

Publications

1.1K

Citations

72

Authors

39

Institutions

Publications per year

2017–2026

8

Authors

72

  1. RR
    Raymond R. Hill

    U.S. Air Force Institute of Technology, United States

    3 publications · 73 citations

    3

    h-index

  2. LC
    L. Champagne

    U.S. Air Force Institute of Technology, United States

    3 publications · 73 citations

    3

    h-index

  3. AA
    Abd Al-Aziz Hosni El-Bagoury

    Princess Nourah bint Abdulrahman University, Saudi Arabia

    2 publications · 29 citations

    2

    h-index

  4. AE
    Abd El Moneim Anwar Teamah

    Tanta University, Egypt

    2 publications · 29 citations

    2

    h-index

  5. MA
    Mohamed Abd Allah El‐Hadidy

    Tanta University, Egypt

    2 publications · 29 citations

    2

    h-index

1–5 of 72

Venues

  1. Journal of the Operational Research Society

    OR · 2 publications · 61 citations

    2

    h-index

  2. European Journal of Operational Research

    2 publications · 65 citations

    2

    h-index

  3. International Journal of Computing Science and Mathematics

    IJCSM · 2 publications · 29 citations

    2

    h-index

  4. Journal of Simulation

    JOS · 1 publications · 28 citations

    1

    h-index

  5. IEEE Transactions on Neural Networks

    1 publications · 13 citations

    1

    h-index

1–5