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Extending the scalability of linkage learning genetic algorithms Theory & Practice /
Genetic algorithms (GAs) are powerful search techniques based on principles of evolution and widely applied to solve problems in many disciplines. However, unable to learn linkage among genes, most GAs employed in practice nowadays suffer from the linkage problem, which refers to the need of appropr...
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| Príomhúdar: | |
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| Formáid: | Livro |
| Teanga: | Inglês |
| Foilsithe: |
Springer Berlin Heidelberg,
2006
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| Eagrán: | 1st ed. 2006. |
| Sraith: | Studies in Fuzziness and Soft Computing, |
| Ábhair: | |
| Rochtain Ar Líne: | https://minerva.ufrj.br/F/?func=direct&doc_number=000894421&local_base=UFR01 |
| Clibeanna: |
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