Nested Partitions Method, Theory and Applications (eBook, PDF) - Shi, Leyuan; Ólafsson, Sigurdur
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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…mehr

Produktbeschreibung
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. TOC:Introduction.- Nested partitions for deterministic optimization.- Nested partitions for stochastic optimization.- Development of stopping rules.- Hybrid nested partitions algorithms.- Applications.- Product design.- Buffer allocation.- Flexible resource scheduling.- Data mining.- Supply chain network design.- References.- Index.

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  • Produktdetails
  • Verlag: Springer-Verlag GmbH
  • Erscheinungstermin: 30.10.2008
  • Englisch
  • ISBN-13: 9780387719092
  • Artikelnr.: 37286859
Inhaltsangabe
Methodology.- The Nested Partitions Method.- Noisy Objective Functions.- Mathematical Programming in the NP Framework.- Hybrid Nested Partitions Algorithm.- Applications.- Flexible Resource Scheduling.- Feature Selection.- Supply Chain Network Design.- Beam Angle Selection.- Local Pickup and Delivery Problem.- Extended Job Shop Scheduling.- Resource Allocation under Uncertainty.