Grouping Genetic Algorithms

Advances and Applications

Häftad, Engelska, 2018

Av Michael Mutingi, Charles Mbohwa

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This book presents advances and innovations in grouping genetic algorithms, enriched with new and unique heuristic optimization techniques. Examples of such problems are: vehicle routing problems, team formation problems, timetabling problems, assembly line balancing, group maintenance planning, modular design, and task assignment.

Produktinformation

Utgivningsdatum2018-06-16
Mått155 x 235 x 15 mm
Vikt400 g
FormatHäftad
SpråkEngelska
SerieStudies in Computational Intelligence
Antal sidor243
FörlagSpringer International Publishing AG
ISBN9783319830483

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Michael Mutingi is a Lecturer and a Researcher in Industrial and Systems Engineering. He researches in healthcare operations management, biologically inspired metaheuristic optimization, fuzzy multi-criteria decision methods, and lean healthcare. Other areas of interest include green supply chain management, logistics management, manufacturing systems simulation, and business system dynamics. Charles Mbohwa is an established researcher and professor in operations management, manufacturing systems, green supply chain management and sustainability engineering, optimization, and his specializations include renewable energy systems, and bio-fuel feasibility.

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.- Equal Piles Problem.- Advertisement Allocation.- Part IV: Conclusions.- Concluding Remarks.- Further Research Considerations.