Symbolic Regression of Boolean Functions by Genetic Programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
- @InCollection{Pospichal:2013:HBO,
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title = "Symbolic Regression of Boolean Functions by Genetic
Programming",
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author = "Jiri Pospichal and Lubomir Varga and
Vladimir Kvasnicka",
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booktitle = "Handbook of Optimization",
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publisher = "Springer",
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year = "2013",
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editor = "Ivan Zelinka and Vaclav Snasel and Ajith Abraham",
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volume = "38",
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series = "Intelligent Systems Reference Library",
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pages = "263--286",
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address = "Berlin",
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keywords = "genetic algorithms, genetic programming",
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isbn13 = "978-3-642-30503-0",
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DOI = "doi:10.1007/978-3-642-30504-7_11",
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abstract = "An evolutionary metaphor of genetic programming for a
symbolic regression of Boolean functions, which
represent logic circuits, is studied. These functions
are coded by acyclic oriented graphs with vertices
corresponding to elementary Boolean operations, e. g.
negation, conjunction, disjunction (both inclusive and
exclusive), and their negations. The used acyclic
oriented graphs are represented by the so-called column
tables. Basic genetic operations of mutation and
crossover are performed over these column tables.
Preliminary results indicate that the proposed version
of genetic programming with column tables is an
effective evolutionary tool for a construction of
optimised Boolean functions that are specified by
tables of functional values for all possible
combinations of arguments.",
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notes = "Institute of Applied Informatics at FIIT, Slovak
Technical University, 842 16, Bratislava, Slovakia",
- }
Genetic Programming entries for
Jiri Pospichal
Lubomir Varga
Vladimir Kvasnicka
Citations