Koloseni, DavidFedrizzi, MarioLuukka, PasiLampinen, JouniCollan, Mikael2016-09-212016-09-212015Koloseni, D., Fedrizzi, M., Luukka, P., Lampinen, J. and Collan, M., 2015. Differential Evolution Classifier with Optimized OWA-Based Multi-distance Measures for the Features in the Data Sets. In Intelligent Systems' 2014 (pp. 765-777). Springer International Publishing.http://hdl.handle.net/20.500.11810/4039Full text can be accessed at http://link.springer.com/chapter/10.1007/978-3-319-11313-5_67This paper introduces a new classification method that uses the differential evolution algorithm to feature-wise select, from a pool of distance measures, an optimal distance measure to be used for classification of elements. The distances yielded for each feature by the optimized distance measures are aggregated into an overall distance vector for each element by using OWA based multi-distance aggregation.enClassificationDifferential evolutionPool of distancesMulti-distancesDifferential Evolution Classifier with Optimized OWA-Based Multi-distance Measures for the Features in the Data SetsBook chapter10.1007/978-3-319-11313-5_67