Simulated Annealing Layout Optimization

Simulated Annealing Layout Optimization is a computational optimization method that belongs to the class of stochastic metaheuristic algorithms, distinguished by its use of a probabilistic cooling schedule to iteratively refine equipment placement configurations and escape local optima in pursuit of a globally optimal layout.

93

Publications

7.3K

Citations

204

Authors

111

Institutions

Publications per year

2017–2026

13

Authors

204

  1. JC
    Jonathan Cagan

    Carnegie Mellon University, United States

    6 publications · 325 citations

    6

    h-index

  2. KF
    Kunihiro Fujiyoshi

    Japan Advanced Institute of Science and Technology, Japan

    4 publications · 1.4K citations

    4

    h-index

  3. SP
    Surya Prakash Singh

    Indian Institute of Technology Delhi, India

    3 publications · 84 citations

    3

    h-index

  4. SN
    Shigetoshi Nakatake

    The University of Kitakyushu, Japan

    3 publications · 1.4K citations

    3

    h-index

  5. YK
    Yoji Kajitani

    Tokyo Institute of Technology, Japan

    3 publications · 1.4K citations

    3

    h-index

1–5 of 204

Venues

  1. 6

    h-index

  2. International Journal of Production Research

    6 publications · 403 citations

    6

    h-index

  3. Expert Systems with Applications

    4 publications · 253 citations

    4

    h-index

  4. Computers & Industrial Engineering

    4 publications · 195 citations

    4

    h-index

  5. Design Automation Conference

    Conference · 3 publications · 516 citations

    3

    h-index

1–5