Comparison of multi-objective algorithms applied to feature selection
The feature selection problem can be formulated as a multi-objective optimization (MOO) problem, as it involves the minimization of the feature subset cardinality and the misclassification error. In this chapter, a comparison of MOO algorithms applied to feature selection is presented. The used MOO...
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| Other Authors: | , , |
| Format: | article |
| Language: | eng |
| Published: |
2017
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| Online Access: | http://hdl.handle.net/10400.21/6939 |
| Country: | Portugal |
| Oai: | oai:repositorio.ipl.pt:10400.21/6939 |