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: eBook
Language: English
Published: Cham, Switzerland : Springer, [2016]
Series: Studies in computational intelligence ; v. 666.
Subjects:
ISBN: 9783319443942
9783319443935
Physical Description: 1 online resource (xiv, 243 pages) : illustrations

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