A Feature Selection Method Based on Multi-objective Optimisation with Gravitational Search Algorithm
Bolou Bolou Dickson, Shengsheng Wang, Ruyi Dong, Changji Wen · Communications in computer and information science · 2016
The process of feature selection (FS) is a substantial task that has a significant effect in the performance of a given algorithm. The goal is to choose a subset of available features by eliminating the unnecessary features. This hybrid algorithm is in maximising the classification performance and minimising the number of features to achieve an outstanding performance through a less complex procedure. From the experiments, FSMOGSA was noted to be quite unparalleled in comparison with other methods in reducing the error rate, and maximising the general performance through irrelevant feature reduction.