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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Detaylı Bibliyografya
Asıl Yazarlar: Mutingi, Michael (Yazar), Mbohwa, Charles (Yazar)
Müşterek Yazar: SpringerLink (Online service)
Materyal Türü: e-Kitap
Dil:İngilizce
Baskı/Yayın Bilgisi: Cham : Springer International Publishing : Imprint: Springer, 2017.
Edisyon:1st ed. 2017.
Seri Bilgileri:Studies in Computational Intelligence, 666
Konular:
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.
Online Erişim:Full-text access
OPAC'ta görüntüle
İçindekiler:
  • 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.

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