Cover Image

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...

Full description

Main Authors: Mutingi, Michael. (Author, http://id.loc.gov/vocabulary/relators/aut), Mbohwa, Charles. (http://id.loc.gov/vocabulary/relators/aut)
Corporate Author: SpringerLink (Online service)
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.
Decision making.
Artificial intelligence.
Industrial engineering.
Production engineering.
Management science.
Computational Intelligence.
Operations Research/Decision Theory.
Artificial Intelligence.
Industrial and Production Engineering.
Operations Research, Management Science.
Online Access:https://doi.org/10.1007/978-3-319-44394-2

Internet

https://doi.org/10.1007/978-3-319-44394-2

Similar Items