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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Bibliographic Details
Main Authors Mutingi, Michael (Author), Mbohwa, Charles (Author)
Format Electronic eBook
LanguageEnglish
Published Cham, Switzerland : Springer, [2016]
SeriesStudies in computational intelligence ; v. 666.
Subjects
Online AccessFull text
ISBN9783319443942
9783319443935
ISSN1860-949X ;
Physical Description1 online resource (xiv, 243 pages) : illustrations

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