Dynamic Spatial Optimization

Dynamic Spatial Optimization is a spatial optimization framework that explicitly incorporates temporal changes and adaptive decision-making processes to address evolving spatial configurations and constraints over time.

12

Publications

271

Citations

41

Authors

21

Institutions

Publications per year

2017–2026

3

Authors

41

  1. AR
    Aura Reggiani

    University of Bologna, Italy

    2 publications · 37 citations

    2

    h-index

  2. PN
    Peter Nijkamp

    Vrije Universiteit Amsterdam, Netherlands

    2 publications · 37 citations

    2

    h-index

  3. HS
    Hao Sun

    Yanshan University, China

    1 publications · 15 citations

    1

    h-index

  4. JY
    Jingming Yang

    Yanshan University, China

    1 publications · 15 citations

    1

    h-index

  5. JH
    John Hof

    Rocky Mountain Research Station, United States

    1 publications · 36 citations

    1

    h-index

1–5 of 41

Venues

  1. Swarm and Evolutionary Computation

    1 publications · 15 citations

    1

    h-index

  2. Environment and Planning A Economy and Space

    1 publications · 23 citations

    1

    h-index

  3. Natural Resource Modeling

    1 publications · 36 citations

    1

    h-index

  4. Sustainability

    1 publications · 25 citations

    1

    h-index

  5. 1

    h-index

1–5