Multi-objective Batch Scheduling

Multi-Objective Batch Scheduling is a scheduling framework that belongs to the class of multi-objective optimization problems and specifically involves the simultaneous minimization of multiple conflicting objectives within the context of grouping jobs into batches, where each batch is processed under shared resource constraints and scheduling criteria.

23

Publications

1.6K

Citations

82

Authors

39

Institutions

Publications per year

2017–2026

11

Authors

82

  1. LT
    Lixin Tang

    Northeastern University, China

    2 publications · 70 citations

    2

    h-index

  2. TL
    Tianyang Li

    Northeastern University, China

    2 publications · 70 citations

    2

    h-index

  3. YM
    Ying Meng

    Northeastern University, China

    2 publications · 70 citations

    2

    h-index

  4. ZJ
    Zhaohong Jia

    Anhui University, China

    2 publications · 83 citations

    2

    h-index

  5. HC
    Huaping Chen

    University of Science and Technology of China, China

    2 publications · 98 citations

    2

    h-index

1–5 of 82

Venues

  1. Computers & Chemical Engineering

    2 publications · 856 citations

    2

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  2. International Journal of Production Research

    1 publications · 49 citations

    1

    h-index

  3. Journal of Process Control

    1 publications · 48 citations

    1

    h-index

  4. Computational Optimization and Applications

    1 publications · 14 citations

    1

    h-index

  5. Neural Computing and Applications

    1 publications · 24 citations

    1

    h-index

1–5