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)
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:
Computational intelligence.
Operations research.
Artificial intelligence.
Industrial engineering.
Production engineering.
Management science.
Computational Intelligence.
Operations Research and Decision Theory.
Artificial Intelligence.
Industrial and Production Engineering.
Operations Research, Management Science.
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