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

Lukas Kammerer; Gabriel Kronberger; Bogdan Burlacu; Stephan Winkler; Michael Kommenda; Michael Affenzeller

doi:10.1007/978-3-030-39958-0_5

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

Lukas Kammerer, Gabriel Kronberger, Bogdan Burlacu, Stephan Winkler, Michael Kommenda, Michael Affenzeller

Research output: Chapter in Book/Report/Conference proceedings › Chapter

Original language	English
Title of host publication	Genetic Programming in Theory and Practice XVII
Publisher	Springer
Pages	79-99
Number of pages	21
DOIs	https://doi.org/10.1007/978-3-030-39958-0_5
Publication status	E-pub ahead of print - 2020

Access to Document

10.1007/978-3-030-39958-0_5

Cite this

Kammerer, L., Kronberger, G., Burlacu, B., Winkler, S., Kommenda, M., & Affenzeller, M. (2020). Symbolic Regression by Exhaustive Search: Reducing the Search Space using Syntactical Constraints and Efficient Semantic Structure Deduplication. In Genetic Programming in Theory and Practice XVII (pp. 79-99). Springer. Advance online publication. https://doi.org/10.1007/978-3-030-39958-0_5

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