Koloseni, David2016-09-212016-09-212015Koloseni, D., 2015. Differential evolution based classification with pool of distances and aggregation operators. Acta Universitatis Lappeenrantaensis.http://hdl.handle.net/20.500.11810/4180The objective of this thesis is to develop and generalize further the differential evolution based data classification method. For many years, evolutionary algorithms have been successfully applied to many classification tasks. Evolution algorithms are population based, stochastic search algorithms that mimic natural selection and genetics. Differential evolution is an evolutionary algorithm that has gained popularity because of its simplicity and good observed performance. In this thesis a differential evolution classifier with pool of ...enJournal Article, Peer Reviewed