Assessment of a Non-linear Optimization Algorithm for Imagery Classification

Created by W.Langdon from gp-bibliography.bib Revision:1.7642

@InProceedings{Momm:2008:MSA,

• author = "Henrique Momm and Greg Easson",
• title = "Assessment of a Non-linear Optimization Algorithm for Imagery Classification",
• booktitle = "Journal of the Mississippi Academy of Sciences",
• year = "2008",
• volume = "53",
• number = "1",
• pages = "96",
• note = "Seventy second annual meeting of the Mississippi Academy of Sciences, Whispering Woods, MS, USA, 20-22 February 2008",
• email = "msacad@bellsouth.net",
• keywords = "genetic algorithms, genetic programming, remote sensing",
• ISSN = "0076-9436",
• URL = "http://www.msstate.edu/org/MAS/jan08journal/jan08.pdf",
• size = "0.3 pages",
• 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

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