Design Parameter Encoding

Design Parameter Encoding is a formal method that maps the representational structure of a product’s design variables into a syntactic form amenable to evolutionary search, distinguishing it from other design representation techniques by enabling genotype-to-phenotype transformations within evolutionary algorithms.

13

Publications

783

Citations

35

Authors

13

Institutions

Publications per year

2017–2026

2

Authors

35

  1. NN
    Nicol N. Schraudolph

    Australian National University, Australia

    2 publications · 371 citations

    2

    h-index

  2. RK
    Richard K. Belew

    University of California San Diego, United States

    2 publications · 371 citations

    2

    h-index

  3. SD
    Scott D. Sudhoff

    Purdue University West Lafayette, United States

    1 publications · 101 citations

    1

    h-index

  4. ST
    Shuaituan Tian

    Airport Shunyi District Hospital, China

    1 publications · 16 citations

    1

    h-index

  5. ML
    Min Luo

    Soochow University, China

    1 publications · 16 citations

    1

    h-index

1–5 of 35

Venues

  1. Machine Learning

    2 publications · 371 citations

    2

    h-index

  2. 1

    h-index

  3. Construction and Building Materials

    1 publications · 16 citations

    1

    h-index

  4. IEEE Transactions on Energy Conversion

    1 publications · 101 citations

    1

    h-index

  5. 1

    h-index

1–5