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Titlebook: Intelligent Scheduling Systems; Donald E. Brown,William T. Scherer Book 1995 Springer Science+Business Media New York 1995 Manufacturing.a

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1387-666X years of research primarily within the ORcommunity. This community has traditionally emphasized mathematicalmodeling techniques which seek exact solutions to well formulatedoptimization problems. While this approach produced important results,many contemporary scheduling problems are particularly d
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Intelligent Scheduling with Machine Learningtern directed scheduling system (PDS), has been applied to the flexible manufacturing system (FMS) and flexible flow system (FFS) environments. Computational results reveal that such a pattern directed scheduling approach results in superior system performance.
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Decision-Theoretic Control of Constraint-Satisfaction and Schedulingtraint-satisfaction scheduling problems. This paper provides an overview of the project, and contrasts it with other operations research and artificial intelligence approaches to search and optimization.
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Guided Forward Search in Tardiness Scheduling of Large One Machine Problemsrward algorithm neighborhood search (middle computation) and tabu search methods (high computation). Extensive testing and comparisons with other heuristics are reported. Extensions to job shops and other objectives are planned.
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