Metaheuristic Layout Optimization

Metaheuristic Layout Optimization is a computational optimization approach that belongs to the class of metaheuristic methods, specifically distinguished by its application to facility, plant, or spatial layout design problems through high-level strategies that guide subordinate heuristics to efficiently explore and exploit solution spaces.

77

Publications

3.3K

Citations

209

Authors

110

Institutions

Publications per year

2017–2026

28

Authors

209

  1. AK
    A. Kaveh

    Iran University of Science and Technology, Iran

    4 publications · 99 citations

    4

    h-index

  2. YV
    Yasin Vazirinia

    Iran University of Science and Technology, Iran

    2 publications · 46 citations

    2

    h-index

  3. MA
    Martyn Amos

    Manchester Metropolitan University, United Kingdom

    2 publications · 38 citations

    2

    h-index

  4. JC
    Junjae Chae

    Korea Aerospace University, South Korea

    2 publications · 61 citations

    2

    h-index

  5. MK
    Min-Hee Kim

    Korea Aerospace University, South Korea

    2 publications · 61 citations

    2

    h-index

1–5 of 209

Venues

  1. International Journal of Production Research

    7 publications · 201 citations

    7

    h-index

  2. Journal of Intelligent Manufacturing

    4 publications · 179 citations

    4

    h-index

  3. European Journal of Operational Research

    4 publications · 475 citations

    4

    h-index

  4. Periodica Polytechnica Civil Engineering

    3 publications · 71 citations

    3

    h-index

  5. Expert Systems with Applications

    3 publications · 225 citations

    3

    h-index

1–5