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Foundations of generic optimization
The success of a genetic algorithm when applied to an optimization problem depends upon several features present or absent in the problem to be solved, including the quality of the encoding of data, the geometric structure of the search space, deception or epistasis. This book deals essentially with...
| Autores principales: | , , |
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| Lenguaje: | eng |
| Publicado: |
Springer
2006
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| Materias: | |
| Acceso en línea: | http://cds.cern.ch/record/1990279 |