Bakış, YasinSezerman, Osman UğurBabaç, Mehmet TekinMeydan, Cem2024-09-252024-09-252009978-160558325-9https://doi.org/10.1145/1570256.1570260https://hdl.handle.net/20.500.12491/12298ACM SIGEVO11th Annual Genetic and Evolutionary Computation Conference, GECCO-2009 -- 8 July 2009 through 12 July 2009 -- Montreal, QC -- 78693Studies in Numerical Taxonomy are carried out by measuring characters as much as possible. The workload over scientists and labor to perform measurements will increase proportionally with the number of variables (or characters) to be used in the study. However, some part of the data may be irrelevant or sometimes meaningless. Here in this study, we introduce an algorithm to obtain a subset of data with minimum characters that can represent original data. Morphological characters were used in optimization of data by Genetic Algorithms Feature Selection method. The analyses were performed on an 18 character?11 taxa data matrix with standardized continuous characters. The analyses resulted in a minimum set of 2 characters, which means the original tree based on the complete data can also be constructed by those two characters. © 2009 Copyright is held by the author/owner(s).eninfo:eu-repo/semantics/closedAccessBiological Data MiningGenetic AlgorithmsMorphological DataOptimizationPhylogeneticsConference Object10.1145/1570256.15702602009-January196719702-s2.0-85132978135N/A