Evolutionary Synthesis of Logic Circuits Using Information Theory
Created by W.Langdon from
gp-bibliography.bib Revision:1.7970
- @Article{Aguirre:2003:AIR,
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author = "Arturo Hernandez Aguirre and
Carlos A. {Coello Coello}",
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title = "Evolutionary Synthesis of Logic Circuits Using
Information Theory",
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journal = "Artificial Intelligence Review",
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year = "2003",
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volume = "20",
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number = "3-4",
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pages = "445--471",
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keywords = "genetic algorithms, genetic programming, circuit
synthesis, computer-aided design, evolutionary
algorithms, evolvable hardware, information theory",
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language = "English",
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publisher = "Kluwer Academic Publishers",
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ISSN = "0269-2821",
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annote = "The Pennsylvania State University CiteSeerX Archives",
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bibsource = "OAI-PMH server at citeseerx.ist.psu.edu",
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language = "en",
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oai = "oai:CiteSeerX.psu:10.1.1.378.9801",
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rights = "Metadata may be used without restrictions as long as
the oai identifier remains attached to it.",
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URL = "http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.378.9801",
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URL = "http://hera.ugr.es/doi/14977278.pdf",
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URL = "http://dx.doi.org/10.1023/B%3AAIRE.0000006603.98023.97",
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DOI = "doi:10.1023/B:AIRE.0000006603.98023.97",
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abstract = "In this paper, we propose the use of Information
Theory as the basis for designing a fitness function
for Boolean circuit design using Genetic Programming.
Boolean functions are implemented by replicating binary
multiplexers. Entropy-based measures, such as Mutual
Information and Normalised Mutual Information are
investigated as tools for similarity measures between
the target and evolving circuit. Three fitness
functions are built over a primitive one. We show that
the landscape of Normalized Mutual Information is more
amenable for being used as a fitness function than
simple Mutual Information. The evolutionary synthesised
circuits are compared to the known optimum size. A
discussion of the potential of the
Information-Theoretical approach is given.",
- }
Genetic Programming entries for
Arturo Hernandez-Aguirre
Carlos Artemio Coello Coello
Citations