Dynamic Search Planning

Dynamic Search Planning is a methodological framework within search planning that adaptively refines search strategies in real-time based on evolving environmental feedback and uncertainty, distinguishing it from static or predetermined search approaches.

22

Publications

1K

Citations

60

Authors

32

Institutions

Publications per year

2017–2026

6

Authors

60

  1. DN
    Doron Nussbaum

    Carleton University, Canada

    2 publications · 24 citations

    2

    h-index

  2. AY
    Alper Yörükçü

    Carleton University, Canada

    2 publications · 24 citations

    2

    h-index

  3. FG
    F. García

    European Organization for Nuclear Research, Switzerland

    1 publications · 15 citations

    1

    h-index

  4. DZ
    Defu Zhang

    Northeastern University, China

    1 publications · 29 citations

    1

    h-index

  5. CT
    Cheng Tan

    Qufu Normal University, China

    1 publications · 20 citations

    1

    h-index

1–5 of 60

Venues

  1. Artificial Intelligence

    1 publications · 45 citations

    1

    h-index

  2. IEEE Transactions on Industrial Electronics

    1 publications · 29 citations

    1

    h-index

  3. Numerical Algorithms

    1 publications · 10 citations

    1

    h-index

  4. Cognitive Neurodynamics

    1 publications · 21 citations

    1

    h-index

  5. IEEE Transactions on Cognitive and Developmental Systems

    TCDS · 1 publications · 20 citations

    1

    h-index

1–5