Metaheuristic Inventory Optimization

Metaheuristic Inventory Optimization is an optimization methodology that belongs to the class of inventory optimization techniques and is distinguished by its use of metaheuristic algorithms to solve complex, large-scale, or nonlinear inventory control problems where exact analytical methods are infeasible or computationally prohibitive.

26

Publications

1.1K

Citations

72

Authors

45

Institutions

Publications per year

2017–2026

11

Publications

26

1–5 of 26

Authors

72

  1. SM
    Seyed Mohsen Mousavi

    Qazvin Islamic Azad University, Iran

    4 publications · 336 citations

    4

    h-index

  2. AK
    Asoke Kumar Bhunia

    University of Burdwan, India

    4 publications · 258 citations

    4

    h-index

  3. ST
    Seyed Taghi Akhavan Niaki

    Sharif University of Technology, Iran

    4 publications · 336 citations

    4

    h-index

  4. JS
    Javad Sadeghi

    Qazvin Islamic Azad University, Iran

    3 publications · 204 citations

    3

    h-index

  5. MK
    Manoj Kumar Tiwari

    Indian Institute of Technology Kharagpur, India

    2 publications · 41 citations

    2

    h-index

1–5 of 72

Venues

  1. Soft Computing

    2 publications · 66 citations

    2

    h-index

  2. Applied Mathematical Modelling

    2 publications · 111 citations

    2

    h-index

  3. 1

    h-index

  4. International Journal of Production Research

    1 publications · 27 citations

    1

    h-index

  5. Mathematical and Computer Modelling of Dynamical Systems

    MCMDS · 1 publications · 52 citations

    1

    h-index

1–5