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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...
Main Authors: | Mutingi, Michael (Author), Mbohwa, Charles (Author) |
---|---|
Corporate Author: | SpringerLink (Online service) |
Format: | e-Book |
Language: | English |
Published: |
Cham :
Springer International Publishing : Imprint: Springer,
2017.
|
Edition: | 1st ed. 2017. |
Series: | Studies in Computational Intelligence,
666 |
Subjects: | |
Online Access: | Full-text access View in OPAC |
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