A comparative study on binary Artificial Bee Colony optimization methods for feature selection
作者： Zeynep Banu Ozger , Bulent Bolat , Banu Diri
DOI: 10.1109/INISTA.2016.7571836
关键词:
摘要: Feature selection is a major pre-processins technique which aims to pick out distinctive features from whole dataset. In this way it intended reduce computational cost o the classification process. Artificial Bee Colony (ABC) algorithm an evolutionary based swarm intelligence optimization method study, some of variants binary ABC algorithms are implemented feature problem using 10 UC datasets. The results show that useful for area.
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