Grouping Genetic Algorithms Book by Charles Mbohwa
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Grouping Genetic Algorithms

Grouping Genetic Algorithms


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About the Book

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.
About the Author:

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.


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Product Details
  • ISBN-13: 9783319830483
  • Publisher: Springer
  • Publisher Imprint: Springer
  • Height: 234 mm
  • No of Pages: 243
  • Series Title: Studies in Computational Intelligence
  • Sub Title: Advances and Applications
  • Width: 156 mm
  • ISBN-10: 3319830481
  • Publisher Date: 16 Jun 2018
  • Binding: Paperback
  • Language: English
  • Returnable: N
  • Spine Width: 14 mm
  • Weight: 421 gr


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