Automated synthesis by means of genetic programming of human-competitive designs employing reuse, hierarchies, modularities, development, and parameterized topologies
Created by W.Langdon from
gp-bibliography.bib Revision:1.8098
- @InProceedings{koza:2003:aaaiS,
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author = "John R. Koza and Matthew J. Streeter and
Martin A. Keane",
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title = "Automated synthesis by means of genetic programming of
human-competitive designs employing reuse, hierarchies,
modularities, development, and parameterized
topologies",
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booktitle = "Computational Synthesis: From Basic Building Blocks to
High Level Functionality: Papers from the 2003 AAAI
Spring Symposium",
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publisher = "AAAI Press",
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year = "2003",
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editor = "Hod Lipson and Erik K. Antonsson and John R. Koza",
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series = "AAAI technical report SS-03-02",
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pages = "138--145",
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address = "Stanford, California, USA",
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email = "john@johnkoza.com",
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keywords = "genetic algorithms, genetic programming",
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ISBN = "1-57735-179-7",
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URL = "http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.528.6135",
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URL = "http://www.genetic-programming.com/jkpdf/aaai2003spring.pdf",
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URL = "http://www.aaai.org/Library/Symposia/Spring/2003/ss03-02-019.php",
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broken = "http://www.aaai.org/Press/Reports/Symposia/Spring/ss-03-02.html",
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size = "8 pages",
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abstract = "Genetic programming can be used as an automated
invention machine to create designs. Genetic
programming has automatically created designs that
infringe, improve upon, or duplicate the functionality
(in a novel way) of 16 previously patented inventions
involving circuits, controllers, and mathematical
algorithms. Genetic programming has also generated two
patentable new inventions for which patent applications
have been filed. Genetic programming has also generated
numerous other human-competitive results, including the
design of quantum computing circuits that are superior
to those designed by human designers. Genetic
programming has also designed antennae, networks of
chemical reactions (metabolic pathways), and genetic
networks. Genetic programming can automatically create
hierarchies, automatically identify and reuse
modularities, automatically determine program
architecture, and automatically create parameterised
topologies. When genetic programming is used to design
complex structures, it is often advantageous to use a
developmental process that enables syntactic validity
and locality to be preserved under crossover.",
- }
Genetic Programming entries for
John Koza
Matthew J Streeter
Martin A Keane
Citations