Intelligent Scheduling Systems

By: Donald E. Brown (Editor), William T. Scherer (Editor)

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Hardcover | 31 December 1994

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Hardcover
276 Pages

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24.13 x 16.51 x 2.54

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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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Non-Fiction Business & Management Operational Research Computing & I.T.Computer Science Management & Management Techniques Management of Specific Areas Production of Quality Control Management Gardening Engineering & Technology Mechanical Engineering & Materials Mechanical Engineering

Business Mathematics & Systems Databases

Contributors
Preface
A Survey of Intelligent Scheduling Systems	p. 1
Schedulers and Planners: What and How Can We Learn From Them	p. 41
Decision-Theoretic Control of Constraint Satisfaction and Scheduling	p. 63
Guided Forward Search in Tardiness Scheduling of Large One Machine Problems	p. 79
An Overview of Tabu Search Approaches to Production Scheduling Problems	p. 101
Measuring the Quality of Manufacturing Schedules	p. 129
Reactive Scheduling Systems	p. 155
Intelligent Scheduling with Machine Learning	p. 193
Solving Large Integer Programs Arising from Air Traffic Flow Problems	p. 215
Intelligent Scheduling Support for the U.S. Coast Guard	p. 227
About the Authors	p. 249
Index	p. 257
Table of Contents provided by Blackwell. All Rights Reserved.

Intelligent Scheduling Systems

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Hardcover

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How to return your order

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