18.01.2013 Views

Adil GÜNER, Vehbi ESER - optima

Adil GÜNER, Vehbi ESER - optima

Adil GÜNER, Vehbi ESER - optima

SHOW MORE
SHOW LESS

Create successful ePaper yourself

Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.

OPTIMIZATION OF MORPHOLOGICAL DATA IN NUMERICAL<br />

TAXONOMY STUDIES<br />

M. Tekin BABAÇ 1 , Yasin BAKI� 1 , O. U�ur SEZERMAN 2 ,<br />

1 Abant Izzet Baysal University, Faculty of Science, Department of Biology, 14280 Bolu, TURKEY<br />

bakis_y@ibu.edu.tr<br />

2 Sabanci University, Faculty of Engineering and Natural Sciences, Orhanli, Tuzla 34956 Istanbul, TURKEY<br />

ugur@sabanciuniv.edu<br />

Numerical Taxonomy or Phenetics aims to create a taxonomy using numeric algorithms.<br />

Morphological analysis are carried out by measuring dozens of variables in Numerical<br />

Taxonomy. The workload to perform measurements is proportional to number of characters.<br />

However, some part of the data may be irrelevant or sometimes meaningless. In this study, we<br />

introduce a newly developed method based on Feature Selection method of Genetic Algorithms<br />

to optimize the data by eliminating meaningless or repeated part of it. Method uses<br />

morphological data as input and for a given Numeric Taxonomy method, optimize the data to a<br />

subset of characters.<br />

Keywords: Phylogenetics, Numerical Taxonomy, Optimization, Morphology.<br />

51<br />

63<br />

Oral Lectures

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!