Adil GÜNER, Vehbi ESER - optima
Adil GÜNER, Vehbi ESER - optima
Adil GÜNER, Vehbi ESER - optima
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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