Assessment of a Non-linear Optimization Algorithm for Imagery Classification
Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
- @InProceedings{Momm:2008:MSA,
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author = "Henrique Momm and Greg Easson",
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title = "Assessment of a Non-linear Optimization Algorithm for
Imagery Classification",
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booktitle = "Journal of the Mississippi Academy of Sciences",
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year = "2008",
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volume = "53",
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number = "1",
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pages = "96",
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note = "Seventy second annual meeting of the Mississippi
Academy of Sciences, Whispering Woods, MS, USA, 20-22
February 2008",
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email = "msacad@bellsouth.net",
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keywords = "genetic algorithms, genetic programming, remote
sensing",
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ISSN = "0076-9436",
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URL = "http://www.msstate.edu/org/MAS/jan08journal/jan08.pdf",
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size = "0.3 pages",
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abstract = "Results suggested that the overall variability
increased with the introduction of additional variables
despite the higher accuracy values. Conversely, the use
of techniques such as population restarting
significantly reduced the variability caused by the
initial randomness process and therefore it is
recommended to be incorporated into the framework.",
- }
Genetic Programming entries for
Henrique G Momm
Greg Easson
Citations