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Grouping genetic algorithms: advances and applications
This book presents advances and innovations in grouping genetic algorithms, enriched with new and unique heuristic optimization techniques. These algorithms are specially designed for solving industrial grouping problems where system entities are to be partitioned or clustered into efficient groups...
Autores principales: | Mutingi, Michael, Mbohwa, Charles |
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Lenguaje: | eng |
Publicado: |
Springer
2017
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Materias: | |
Acceso en línea: | https://dx.doi.org/10.1007/978-3-319-44394-2 http://cds.cern.ch/record/2240628 |
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