Feature selection of unreliable data using an improved multi-objective PSO algorithm
作者： Zhang Yong , Gong Dun-wei , Zhang Wan-qiu
DOI: 10.1016/J.NEUCOM.2015.07.057
关键词:
摘要: Due to the influence of environment, data obtained in real world are not completely reliable sometimes. This paper focuses on tackling feature selection problem with unreliable data. First, is formulated as an multi-objective optimization one two objectives: reliability and classification accuracy. Then, effective algorithm based bare-bones particle swarm proposed by incorporating new operators. One a reinforced memory strategy, which designed overcome degradation phenomenon particles. Another hybrid mutation, improve search ability algorithm. Finally, state-of-the-art algorithms also applied this kind problem, comparison results suggest that highly competitive for
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