Adaptive Heuristics

Adaptive Heuristics is a heuristic optimization method that dynamically modifies its search strategies or parameters during the problem-solving process based on feedback from previous iterations to improve solution quality and convergence efficiency.

128

Publications

11.3K

Citations

324

Authors

171

Institutions

Publications per year

2017–2026

23

Authors

324

  1. GG
    Gerd Gigerenzer

    Max Planck Institute for Human Development, Germany

    6 publications · 1.8K citations

    6

    h-index

  2. ML
    Maxim Likhachev

    Carnegie Mellon University, United States

    4 publications · 226 citations

    4

    h-index

  3. EB
    Edmund Burke

    University of Nottingham, United Kingdom

    4 publications · 119 citations

    4

    h-index

  4. ÉD
    Éric D. Taillard

    Dalle Molle Institute for Artificial Intelligence Research, Switzerland

    3 publications · 461 citations

    3

    h-index

  5. SS
    Sartaj Sahni

    University of Florida, United States

    3 publications · 229 citations

    3

    h-index

1–5 of 324

Venues

  1. IEEE Access

    2 publications · 99 citations

    2

    h-index

  2. Computer Modeling in Engineering & Sciences

    CMES · 2 publications · 70 citations

    2

    h-index

  3. European Journal of Operational Research

    2 publications · 260 citations

    2

    h-index

  4. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 2 publications · 32 citations

    2

    h-index

  5. 2

    h-index

1–5