Grouping Genetic Algorithms Advances and Applications

Grouping Genetic Algorithms Advances and Applications / by Michael Mutingi, Charles Mbohwa.

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)
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2017.
Edition:1st ed. 2017.
Series:Studies in Computational Intelligence, 666
Springer eBook Collection.
Subjects:
Computational intelligence.
Operations research.
Decision making.
Artificial intelligence.
Industrial engineering.
Production engineering.
Management science.
Electronic resources (E-books)
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Call Number: E-Book
Status: Available

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