Dynamic Multi-objective Scheduling

Dynamic Multi-Objective Scheduling is a dynamic optimization framework within multi-objective scheduling that simultaneously addresses multiple conflicting objectives while adapting to real-time changes in job arrivals, resource availability, or environmental conditions.

130

Publications

6.7K

Citations

448

Authors

203

Institutions

Publications per year

2017–2026

84

Authors

448

  1. MZ
    Mengjie Zhang

    Victoria University of Wellington, New Zealand

    5 publications · 404 citations

    5

    h-index

  2. SN
    Su Nguyen

    Victoria University of Wellington, New Zealand

    4 publications · 373 citations

    4

    h-index

  3. KC
    Kay Chen Tan

    National University of Singapore, Singapore

    3 publications · 347 citations

    3

    h-index

  4. AF
    Antonio Fernández-Cardador

    Universidad Pontificia Comillas, Spain

    2 publications · 57 citations

    2

    h-index

  5. BQ
    Baihao Qiao

    Xidian University, China

    2 publications · 134 citations

    2

    h-index

1–5 of 448

Venues

  1. Applied Soft Computing

    7 publications · 302 citations

    7

    h-index

  2. Computers & Industrial Engineering

    6 publications · 429 citations

    6

    h-index

  3. Expert Systems with Applications

    6 publications · 392 citations

    6

    h-index

  4. Swarm and Evolutionary Computation

    5 publications · 253 citations

    5

    h-index

  5. 4

    h-index

1–5