Dynamic Heuristic Optimization

Dynamic Heuristic Optimization is a heuristic optimization approach that dynamically adapts its search strategy or parameters during problem-solving to respond to changing conditions, problem landscapes, or runtime feedback, thereby distinguishing itself from static or offline heuristic methods.

85

Publications

3.4K

Citations

248

Authors

144

Institutions

Publications per year

2017–2026

34

Authors

248

  1. IR
    Ismael Rodrı́guez

    Universidad Complutense de Madrid, Spain

    2 publications · 50 citations

    2

    h-index

  2. PR
    Pablo Rodríguez-Mier

    Universidade de Santiago de Compostela, Spain

    2 publications · 143 citations

    2

    h-index

  3. AP
    Andries P. Engelbrecht

    University of Pretoria, South Africa

    2 publications · 49 citations

    2

    h-index

  4. PR
    Pablo Rabanal

    Universidad Complutense de Madrid, Spain

    2 publications · 50 citations

    2

    h-index

  5. ML
    Manuel Lama

    Universidade de Santiago de Compostela, Spain

    2 publications · 143 citations

    2

    h-index

1–5 of 248

Venues

  1. IEEE Access

    2 publications · 47 citations

    2

    h-index

  2. ISA Transactions

    2 publications · 31 citations

    2

    h-index

  3. IEEE Transactions on Evolutionary Computation

    1 publications · 258 citations

    2

    h-index

  4. Computers & Industrial Engineering

    2 publications · 102 citations

    2

    h-index

  5. Soft Computing

    2 publications · 152 citations

    2

    h-index

1–5