Intelligent Scheduling Systems

Name: Intelligent Scheduling Systems
Brand: Springer-Verlag New York Inc.
SKU: 9781461359548
Price: 149.76 EUR
Availability: InStock

Autor: Donald E. Brown, William T. Scherer

Jazyk:

Väzba: Brožovaná

Vydavateľ: Springer-Verlag New York Inc.

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149.76 €

Scheduling is a resource allocation problem which exists in virtually every type of organization. Sc...

Informácie o knihe

Autor

Donald E. Brown, William T. Scherer

Jazyk

Angličtina

Väzba

Kniha - Brožovaná

Vydalo

2012

Stránok

260

EAN

9781461359548

ISBN

1461359546

Enbook ID

02016328

Vydavateľ

Springer-Verlag New York Inc.

Hmotnosť

427

Rozmery

155 x 235 x 16

Kompletný popis

Scheduling is a resource allocation problem which exists in virtually every type of organization. Scheduling problems have produced roughly 40 years of research primarily within the OR community. This community has traditionally emphasized mathematical modeling techniques which seek exact solutions to well formulated optimization problems. While this approach produced important results, many contemporary scheduling problems are particularly difficult. Hence, over the last ten years operations researchers interested in scheduling have turned increasingly to more computer intensive and heuristic approaches. At roughly the same time, researchers in AI began to focus their methods on industrial and management science applications. The result of this confluence of fields has been a period of remarkable growth and excitement in scheduling research. §Intelligent Scheduling Systems captures the results of a new wave of research at the forefront of scheduling research, of interest to researchers and practitioners alike. Presented are an array of the latest contemporary tools -- math modeling to tabu search to genetic algorithms -- that can assist in operational scheduling and solve difficult scheduling problems. The book presents the most recent research results from both operations research (OR) and artificial intelligence (AI) focusing their efforts on real scheduling problems. §

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