Artificial Genetic Regulatory Networks - A Review
Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
- @Article{Cussat-Blanc:2018:alife,
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author = "Sylvain Cussat-Blanc and Kyle Harrington and
Wolfgang Banzhaf",
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title = "Artificial Genetic Regulatory Networks - A Review",
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journal = "Artificial Life",
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year = "2018",
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volume = "24",
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number = "4",
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pages = "296--328",
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month = "Fall",
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keywords = "genetic algorithms, genetic programming, artificial
regulatory networks, Gene regulatory networks,
evolutionary algorithms, morphogenesis, control
dynamics, neuromodulation",
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ISSN = "1064-5462",
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DOI = "doi:10.1162/artl_a_00267",
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size = "33 pages",
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abstract = "In nature, gene regulatory networks are a key mediator
between the information stored in the DNA of living
organisms (their genotype) and the structural and
behavioral expression this finds in their bodies,
surviving in the world (their phenotype). They
integrate environmental signals, steer development,
buffer stochasticity, and allow evolution to proceed.
In engineering, modeling and implementations of
artificial gene regulatory networks have been an
expanding field of research and development over the
past few decades. This review discusses the concept of
gene regulation, describes the current state of the art
in gene regulatory networks, including modeling and
simulation, and reviews their use in artificial
evolutionary settings. We provide evidence for the
benefits of this concept in natural and the engineering
domains.",
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notes = "University of Toulouse, IRIT, CNRS, UMR5505",
- }
Genetic Programming entries for
Sylvain Cussat-Blanc
Kyle Ira Harrington
Wolfgang Banzhaf
Citations