Symbolic Regression by Exhaustive Search: Reducing the Search Space Using Syntactical Constraints and Efficient Semantic Structure Deduplication

Lukas Kammerer, Gabriel Kronberger, Bogdan Burlacu, Stephan M. Winkler, Michael Kommenda, Michael Affenzeller. Symbolic Regression by Exhaustive Search: Reducing the Search Space Using Syntactical Constraints and Efficient Semantic Structure Deduplication. In Wolfgang Banzhaf, Erik D. Goodman, Leigh Sheneman, Leonardo Trujillo, Bill Worzel, editors, Genetic Programming Theory and Practice XVII [GPTP 2019, Michigan State University, East Lansing, Michigan, USA, May 16-19, 2019]. pages 79-99, Springer, 2019. [doi]

@inproceedings{KammererKBWKA19,
  title = {Symbolic Regression by Exhaustive Search: Reducing the Search Space Using Syntactical Constraints and Efficient Semantic Structure Deduplication},
  author = {Lukas Kammerer and Gabriel Kronberger and Bogdan Burlacu and Stephan M. Winkler and Michael Kommenda and Michael Affenzeller},
  year = {2019},
  doi = {10.1007/978-3-030-39958-0_5},
  url = {https://doi.org/10.1007/978-3-030-39958-0_5},
  researchr = {https://researchr.org/publication/KammererKBWKA19},
  cites = {0},
  citedby = {0},
  pages = {79-99},
  booktitle = {Genetic Programming Theory and Practice XVII [GPTP 2019, Michigan State University, East Lansing, Michigan, USA, May 16-19, 2019]},
  editor = {Wolfgang Banzhaf and Erik D. Goodman and Leigh Sheneman and Leonardo Trujillo and Bill Worzel},
  publisher = {Springer},
  isbn = {978-3-030-39958-0},
}