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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...

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Detalles Bibliográficos
Autores principales: Mutingi, Michael, Mbohwa, Charles
Lenguaje:eng
Publicado: Springer 2017
Materias:
Acceso en línea:https://dx.doi.org/10.1007/978-3-319-44394-2
http://cds.cern.ch/record/2240628