Intelligent Scheduling Systems

Name: Intelligent Scheduling Systems
Brand: Springer-Verlag New York Inc.
SKU: 9781461359548
Price: 634.56 PLN
Availability: InStock

Autor: Donald E. Brown, William T. Scherer

Język:

Oprawa: Miękka

Wydawca: Springer-Verlag New York Inc.

Dostępność: Dostępna u dostawcy

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

Informacje o książce

Autor

Donald E. Brown, William T. Scherer

Język

Angielski

Oprawa

Książka - Miękka

Data wydania

2012

strony

260

EAN

9781461359548

ISBN

1461359546

Enbook ID

02016328

Wydawca

Springer-Verlag New York Inc.

Waga

427

Wymiary

155 x 235 x 16

Pełny opis

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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