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Author: M. S. Fox Publisher: ISBN: Category : Languages : en Pages : 15
Book Description
This report summarizes the progress of research performed under AFOSR contract Number F49620-82-K-0017, titled Constraint-Based Scheduling in an Intelligent Logistics Support Syestem: An Artificial Intelligence Approach . During the contract renewal period from March, 1984 to March, 1985, the continued development of a theory of hierarchical, opportunistic constraint-directed reasoning for job shop scheduling has been the focus of our research. Specifically, we have conducted work in the areas or of opportunistic exploitation of constraints, and constaint-directed diagnosis. The former has led us to the use of multiple problem decompositions during schedule generation, while the latter has evolved toward development of a more broad based framework for reactive scheduling. An experimental software system call ISIS has continued it evolution and additional testing with simulated plant data has been performed. The design of a successor system called PHOENIX has been initiated. (Author).
Author: M. S. Fox Publisher: ISBN: Category : Languages : en Pages : 15
Book Description
This report summarizes the progress of research performed under AFOSR contract Number F49620-82-K-0017, titled Constraint-Based Scheduling in an Intelligent Logistics Support Syestem: An Artificial Intelligence Approach . During the contract renewal period from March, 1984 to March, 1985, the continued development of a theory of hierarchical, opportunistic constraint-directed reasoning for job shop scheduling has been the focus of our research. Specifically, we have conducted work in the areas or of opportunistic exploitation of constraints, and constaint-directed diagnosis. The former has led us to the use of multiple problem decompositions during schedule generation, while the latter has evolved toward development of a more broad based framework for reactive scheduling. An experimental software system call ISIS has continued it evolution and additional testing with simulated plant data has been performed. The design of a successor system called PHOENIX has been initiated. (Author).
Author: Nag, Barin Publisher: IGI Global ISBN: 161520606X Category : Computers Languages : en Pages : 386
Book Description
"This book provides knowledge and insights on present and future AI applications in Operations Management presenting tools and decisions in terms of theoretical and empirical models, methods and proposed applications"--Provided by publisher.
Author: M. Aarup Publisher: Springer Science & Business ISBN: 9781558602601 Category : Business & Economics Languages : en Pages : 792
Book Description
Scheduling complex processes, such as chemical manufacturing or space shuttle launches, is a focus of substantial effort throughout industry and government. In the past 20 years, the fields of operations research and operations management have tackled scheduling problems with considerable success. Recently, the artificial intelligence community has turned its attention to this class of problems, resulting in a fresh corpus of research and application that extends previous results. This book, comprising original contributions from experts in the field, highlights these new advances. These chapters present complete systems, stressing their unique characteristics, rather than presenting simple research results. Applications-oriented chapters are also included to inform researchers of state-of-the-art methodologies. Researchers and practitioners in industry and government will find this book valuable. It will also serve as an ideal text for a graduate course in knowledge-based scheduling.
Author: Philippe Baptiste Publisher: Springer Science & Business Media ISBN: 1461514797 Category : Mathematics Languages : en Pages : 204
Book Description
Constraint Programming is a problem-solving paradigm that establishes a clear distinction between two pivotal aspects of a problem: (1) a precise definition of the constraints that define the problem to be solved and (2) the algorithms and heuristics enabling the selection of decisions to solve the problem. It is because of these capabilities that Constraint Programming is increasingly being employed as a problem-solving tool to solve scheduling problems. Hence the development of Constraint-Based Scheduling as a field of study. The aim of this book is to provide an overview of the most widely used Constraint-Based Scheduling techniques. Following the principles of Constraint Programming, the book consists of three distinct parts: The first chapter introduces the basic principles of Constraint Programming and provides a model of the constraints that are the most often encountered in scheduling problems. Chapters 2, 3, 4, and 5 are focused on the propagation of resource constraints, which usually are responsible for the "hardness" of the scheduling problem. Chapters 6, 7, and 8 are dedicated to the resolution of several scheduling problems. These examples illustrate the use and the practical efficiency of the constraint propagation methods of the previous chapters. They also show that besides constraint propagation, the exploration of the search space must be carefully designed, taking into account specific properties of the considered problem (e.g., dominance relations, symmetries, possible use of decomposition rules). Chapter 9 mentions various extensions of the model and presents promising research directions.
Author: Donald E. Brown Publisher: Springer Science & Business Media ISBN: 1461522633 Category : Business & Economics Languages : en Pages : 269
Book Description
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.
Author: M. S. Fox
Author: M. S. Fox
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Author: Nag, Barin
Author: M. Aarup
Author: Philippe Baptiste
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Author: Donald E. Brown
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