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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...

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Bibliographic Details
Main Authors: Mutingi, Michael
Corporate Authors: SpringerLink Online service
Group Author: Mbohwa, Charles
Published: Springer International Publishing : Imprint: Springer,
Publisher Address: Cham :
Publication Dates: 2017.
Literature type: eBook
Language: English
Series: Studies in Computational Intelligence, 666
Subjects:
Engineering
Operations research
Decision making
Artificial intelligence
Management science
Computational intelligence
Industrial engineering
Production engineering
Operation Research/Decision Theory
Artificial Intelligence incl. Robotics
Industrial and Production Engineering
Operations Research, Management Science
Online Access: http://dx.doi.org/10.1007/978-3-319-44394-2
Summary: 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 according to a set of guiding decision criteria. Examples of such problems are: vehicle routing problems, team formation problems, timetabling problems, assembly line balancing, group maintenance planning, modular design, and task assignment. A wide range of industrial grouping problems, drawn fro
Carrier Form: 1 online resource(xiv,243pages): illustrations.
ISBN: 9783319443942
Index Number: Q342
CLC: TP18
Contents: Part I: Introduction -- Exploring Grouping Problems in Industry -- Complicating Features in Grouping Problems -- Part II: Grouping Genetic Algorithms -- Crouping Genetic Algorithms -- Fuzzy Grouping Genetic Algorithms -- Research Applications -- Fleet Size and Mix Vehicle Routing -- Heterogeneous Vehicle Routing -- Bin Packing: Container-Loading Problems with Compartments -- Homecare Staff Scheduling -- Task Assignment in Home Healthcare Services -- Nursing-Care Task Assignment -- Cell-Manufacturing Systems Design -- Cutting Stock Problem -- Assembly-Line Balancing -- Job-Shop Scheduling --

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