Genetic Algorithm-based Orientation Optimization

Genetic Algorithm-Based Orientation Optimization is a computational method within the domain of build orientation planning that employs principles of natural selection and genetic variation to systematically evolve optimal part orientations for additive manufacturing, distinguishing itself from alternative optimization approaches through its use of evolutionary heuristics to navigate complex, multi-objective design spaces.

60

Publications

3.7K

Citations

169

Authors

84

Institutions

Publications per year

2017–2026

24

Authors

169

  1. YF
    Yaoyao Fiona Zhao

    McGill University, Canada

    2 publications · 85 citations

    2

    h-index

  2. KP
    K. P. Karunakaran

    Indian Institute of Technology Bombay, India

    2 publications · 221 citations

    2

    h-index

  3. GC
    Giampaolo Campana

    University of Bologna, Italy

    2 publications · 53 citations

    2

    h-index

  4. SP
    S.S. Pande

    Indian Institute of Technology Bombay, India

    2 publications · 209 citations

    2

    h-index

  5. MM
    Mattia Mele

    University of Bologna, Italy

    2 publications · 53 citations

    2

    h-index

1–5 of 169

Venues

  1. 6

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  2. International Journal of Production Research

    3 publications · 313 citations

    3

    h-index

  3. Computers & Structures

    2 publications · 355 citations

    2

    h-index

  4. Additive manufacturing

    2 publications · 206 citations

    2

    h-index

  5. Journal of Manufacturing Systems

    2 publications · 191 citations

    2

    h-index

1–5