The Art of Nature: Evolving Mechanisms of Development for Self- Organization and Differentiation
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- @InProceedings{kumar:2005:CEC,
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author = "Sanjeev Kumar",
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title = "The Art of Nature: Evolving Mechanisms of Development
for Self- Organization and Differentiation",
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booktitle = "Proceedings of the 2005 IEEE Congress on Evolutionary
Computation",
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year = "2005",
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editor = "David Corne and Zbigniew Michalewicz and
Marco Dorigo and Gusz Eiben and David Fogel and Carlos Fonseca and
Garrison Greenwood and Tan Kay Chen and
Guenther Raidl and Ali Zalzala and Simon Lucas and Ben Paechter and
Jennifier Willies and Juan J. Merelo Guervos and
Eugene Eberbach and Bob McKay and Alastair Channon and
Ashutosh Tiwari and L. Gwenn Volkert and
Dan Ashlock and Marc Schoenauer",
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volume = "1",
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pages = "551--558",
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address = "Edinburgh, UK",
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publisher_address = "445 Hoes Lane, P.O. Box 1331, Piscataway, NJ
08855-1331, USA",
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month = "2-5 " # sep,
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organisation = "IEEE Computational Intelligence Society, Institution
of Electrical Engineers (IEE), Evolutionary Programming
Society (EPS)",
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publisher = "IEEE Press",
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keywords = "genetic algorithms, genetic programming",
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ISBN = "0-7803-9363-5",
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DOI = "doi:10.1109/CEC.2005.1554731",
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abstract = "Recently, researchers have recognised the benefits of
learning from biological development in order to
engineer self-organising solutions to problems. This
paper explores the application of the developmental
metaphor to the problem of controlling single and
multicellular development. In this paper, a summary of
experiments performed using a multicellular test-bed
model of biological development, the Evolutionary
Developmental System (EDS), is presented. The EDS is
shown to successfully evolve genetic regulatory
networks that specify and control the behaviour of
single cells and the construction of 3D multicellular
geometric morphologies to explore self organisation and
analogues of phenomena akin to biological cell
differentiation in multicellular development.",
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notes = "CEC2005 - A joint meeting of the IEEE, the IEE, and
the EPS.",
- }
Genetic Programming entries for
Sanjeev Kumar
Citations