Hybrid Algorithms

Hybrid Algorithms is a computational methodology that integrates distinct algorithmic paradigms—such as exact, heuristic, and metaheuristic techniques in Job Shop Scheduling or combines numerical and approximation methods in N-Body Simulations—to leverage their complementary strengths and enhance overall solution accuracy, efficiency, or scalability.

1.6K

Publications

89.9K

Citations

4.2K

Authors

1.5K

Institutions

Publications per year

2017–2026

642

Authors

4.2K

  1. QP
    Quan-Ke Pan

    Liaocheng University, China

    25 publications · 2.4K citations

    21

    h-index

  2. LW
    Ling Wang

    Tsinghua University, China

    21 publications · 1.7K citations

    19

    h-index

  3. LG
    Liang Gao

    Huazhong University of Science and Technology, China

    21 publications · 2.4K citations

    18

    h-index

  4. MG
    Mitsuo Gen

    Ashikaga University, Japan

    20 publications · 2.3K citations

    17

    h-index

  5. XL
    Xinyu Li

    Huazhong University of Science and Technology, China

    16 publications · 1.5K citations

    14

    h-index

1–5 of 4.2K

Venues

  1. Computers & Industrial Engineering

    47 publications · 5.6K citations

    38

    h-index

  2. International Journal of Production Research

    63 publications · 3.4K citations

    38

    h-index

  3. Applied Soft Computing

    40 publications · 4K citations

    33

    h-index

  4. Expert Systems with Applications

    40 publications · 2.9K citations

    32

    h-index

  5. Computers & Operations Research

    28 publications · 3.3K citations

    25

    h-index

1–5