Local Search Based Enhanced Multi-objective Genetic Algorithm of Training Backpropagation Neural Network for Breast Cancer Diagnosis
Recently, several evolutionary algorithms have been proposed on the basis of preference in literature. Most of multi-objective evolutionary algorithms used NSGA-II due to a good performance in comparison with other multi-objective evolutionary algorithms. Our research is focused on enhancement of a...
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| Main Authors: | , , |
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| Format: | Book Chapter |
| Language: | en |
| Published: |
Springer International Publishing
2017
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| Subjects: | |
| Online Access: | http://ir.unimas.my/id/eprint/22922/1/Local%20Search%20Based%20Enhanced%20Multi-objective%20Genetic%20Algorithm%20of%20Training%20Backpropagation%20Neural%20Network%20for%20Breast%20Cancer%20Diagnosis%20%28full%29%20-%20Copy%20%28abstrak%29.pdf http://ir.unimas.my/id/eprint/22922/ https://link.springer.com/chapter/10.1007/978-3-319-59427-9_61 |
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http://ir.unimas.my/id/eprint/22922/1/Local%20Search%20Based%20Enhanced%20Multi-objective%20Genetic%20Algorithm%20of%20Training%20Backpropagation%20Neural%20Network%20for%20Breast%20Cancer%20Diagnosis%20%28full%29%20-%20Copy%20%28abstrak%29.pdfhttp://ir.unimas.my/id/eprint/22922/
https://link.springer.com/chapter/10.1007/978-3-319-59427-9_61