International Series in Operations Research & Management Science

Nested Partitions Method, Theory and Applications

Authors: Shi, Leyuan, Ólafsson, Sigurdur

  • Nested Partitions (NP) framework combines well-known optimization techniques with problem-specific local search heuristics for increased effectiveness
  • Emphasizes the solution of real-world problems in a broad range of areas, from telecommunications to manufacturing and military operations and design of nanoscale systems
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eBook $89.00
price for USA (gross)
  • ISBN 978-0-387-71909-2
  • Digitally watermarked, DRM-free
  • Included format: PDF
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  • Immediate eBook download after purchase
Hardcover $119.00
price for USA
  • ISBN 978-0-387-71908-5
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  • Usually dispatched within 3 to 5 business days.
Softcover $119.00
price for USA
  • ISBN 978-1-4419-4420-7
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

There is increasing need to solve large-scale complex optimization problems in a wide variety of science and engineering applications, including designing telecommunication networks for multimedia transmission, planning and scheduling problems in manufacturing and military operations, or designing nanoscale devices and systems. Advances in technology and information systems have made such optimization problems more and more complicated in terms of size and uncertainty. Nested Partitions Method, Theory and Applications provides a cutting-edge research tool to use for large-scale, complex systems optimization.

 

The Nested Partitions (NP) framework is an innovative mix of traditional optimization methodology and probabilistic assumptions. An important feature of the NP framework is that it combines many well-known optimization techniques, including dynamic programming, mixed integer programming, genetic algorithms and tabu search, while also integrating many problem-specific local search heuristics. The book uses numerous real-world application examples, demonstrating that the resulting hybrid algorithms are much more robust and efficient than a single stand-alone heuristic or optimization technique. This book aims to provide an optimization framework with which researchers will be able to discover and develop new hybrid optimization methods for successful application of real optimization problems.

 

Researchers and practitioners in management science, industrial engineering, economics, computer science, and environmental science will find this book valuable in their research and study. Because of its emphasis on practical applications, the book can appropriately be used as a textbook in a graduate course.

 

Table of contents (12 chapters)

Buy this book

eBook $89.00
price for USA (gross)
  • ISBN 978-0-387-71909-2
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $119.00
price for USA
  • ISBN 978-0-387-71908-5
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $119.00
price for USA
  • ISBN 978-1-4419-4420-7
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Nested Partitions Method, Theory and Applications
Authors
Series Title
International Series in Operations Research & Management Science
Series Volume
109
Copyright
2009
Publisher
Springer US
Copyright Holder
Springer-Verlag US
eBook ISBN
978-0-387-71909-2
DOI
10.1007/978-0-387-71909-2
Hardcover ISBN
978-0-387-71908-5
Softcover ISBN
978-1-4419-4420-7
Series ISSN
0884-8289
Edition Number
1
Number of Pages
X, 260
Topics