Evolutionary Multi-objective Scheduling

Evolutionary Multi-Objective Scheduling is a multi-objective optimization approach within scheduling theory that employs evolutionary algorithms to simultaneously optimize multiple conflicting objectives by iteratively evolving a population of feasible schedules toward the Pareto-optimal front.

443

Publications

25K

Citations

1.3K

Authors

513

Institutions

Publications per year

2017–2026

209

Authors

1.3K

  1. JZ
    Jianzhong Zhou

    Huazhong University of Science and Technology, China

    8 publications · 462 citations

    8

    h-index

  2. MG
    Mitsuo Gen

    Ashikaga University, Japan

    7 publications · 444 citations

    7

    h-index

  3. PC
    Pei‐Chann Chang

    Yuan Ze University, Taiwan

    6 publications · 373 citations

    6

    h-index

  4. LG
    Liang Gao

    Huazhong University of Science and Technology, China

    6 publications · 445 citations

    6

    h-index

  5. YZ
    Yongchuan Zhang

    Huazhong University of Science and Technology, China

    6 publications · 344 citations

    6

    h-index

1–5 of 1.3K

Venues

  1. Applied Soft Computing

    29 publications · 1.7K citations

    25

    h-index

  2. Computers & Industrial Engineering

    26 publications · 1.5K citations

    21

    h-index

  3. 18

    h-index

  4. Expert Systems with Applications

    15 publications · 825 citations

    14

    h-index

  5. Swarm and Evolutionary Computation

    10 publications · 656 citations

    11

    h-index

1–5