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Constraint Programming and Large Scale Discrete Optimization
 
Edited by: Eugene C. Freuder University of New Hampshire, Durham, NH
Richard J. Wallace University of New Hampshire, Durham, NH
A co-publication of the AMS and DIMACS
Constraint Programming and Large Scale Discrete Optimization
Hardcover ISBN:  978-0-8218-2710-9
Product Code:  DIMACS/57
List Price: $77.00
MAA Member Price: $69.30
AMS Member Price: $61.60
eBook ISBN:  978-1-4704-4015-2
Product Code:  DIMACS/57.E
List Price: $72.00
MAA Member Price: $64.80
AMS Member Price: $57.60
Hardcover ISBN:  978-0-8218-2710-9
eBook: ISBN:  978-1-4704-4015-2
Product Code:  DIMACS/57.B
List Price: $149.00 $113.00
MAA Member Price: $134.10 $101.70
AMS Member Price: $119.20 $90.40
Constraint Programming and Large Scale Discrete Optimization
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Constraint Programming and Large Scale Discrete Optimization
Edited by: Eugene C. Freuder University of New Hampshire, Durham, NH
Richard J. Wallace University of New Hampshire, Durham, NH
A co-publication of the AMS and DIMACS
Hardcover ISBN:  978-0-8218-2710-9
Product Code:  DIMACS/57
List Price: $77.00
MAA Member Price: $69.30
AMS Member Price: $61.60
eBook ISBN:  978-1-4704-4015-2
Product Code:  DIMACS/57.E
List Price: $72.00
MAA Member Price: $64.80
AMS Member Price: $57.60
Hardcover ISBN:  978-0-8218-2710-9
eBook ISBN:  978-1-4704-4015-2
Product Code:  DIMACS/57.B
List Price: $149.00 $113.00
MAA Member Price: $134.10 $101.70
AMS Member Price: $119.20 $90.40
  • Book Details
     
     
    DIMACS - Series in Discrete Mathematics and Theoretical Computer Science
    Volume: 572001; 175 pp
    MSC: Primary 65; 68; Secondary 90

    Constraint programming has become an important general approach for solving hard combinatorial problems that occur in a number of application domains, such as scheduling and configuration. This volume contains selected papers from the workshop on Constraint Programming and Large Scale Discrete Optimization held at DIMACS. It gives a sense of state-of-the-art research in this field, touching on many of the important issues that are emerging and giving an idea of the major current trends. Topics include new strategies for local search, multithreaded constraint programming, specialized constraints that enhance consistency processing, fuzzy representations, hybrid approaches involving both constraint programming and integer programming, and applications to scheduling problems in domains such as sports scheduling and satellite scheduling.

    Co-published with the Center for Discrete Mathematics and Theoretical Computer Science beginning with Volume 8. Volumes 1–7 were co-published with the Association for Computer Machinery (ACM).

    Readership

    Graduate students and research mathematicians interested in numerical analysis.

  • Table of Contents
     
     
    • Chapters
    • Introduction to DIMACS workshop on Constraint Programming and Large Scale Discrete Optimization
    • General methods
    • Using global constraints for local search
    • Guided local search joins the elite in discrete optimisation
    • Multithreaded constraint programming: A hybrid approach
    • CP approaches to scheduling
    • Nurse rostering as constraint satisfaction with fuzzy constraints and inferred control strategies
    • A constraint-based approach to satellite scheduling
    • Minimization of the number of breaks in sports scheduling problems using constraint programming
    • A constraint programming pre-processor for a bus driver scheduling system
    • LSCO and software methodology
    • Large scale combinatorial optimization: A methodological viewpoint
  • Requests
     
     
    Review Copy – for publishers of book reviews
    Accessibility – to request an alternate format of an AMS title
Volume: 572001; 175 pp
MSC: Primary 65; 68; Secondary 90

Constraint programming has become an important general approach for solving hard combinatorial problems that occur in a number of application domains, such as scheduling and configuration. This volume contains selected papers from the workshop on Constraint Programming and Large Scale Discrete Optimization held at DIMACS. It gives a sense of state-of-the-art research in this field, touching on many of the important issues that are emerging and giving an idea of the major current trends. Topics include new strategies for local search, multithreaded constraint programming, specialized constraints that enhance consistency processing, fuzzy representations, hybrid approaches involving both constraint programming and integer programming, and applications to scheduling problems in domains such as sports scheduling and satellite scheduling.

Co-published with the Center for Discrete Mathematics and Theoretical Computer Science beginning with Volume 8. Volumes 1–7 were co-published with the Association for Computer Machinery (ACM).

Readership

Graduate students and research mathematicians interested in numerical analysis.

  • Chapters
  • Introduction to DIMACS workshop on Constraint Programming and Large Scale Discrete Optimization
  • General methods
  • Using global constraints for local search
  • Guided local search joins the elite in discrete optimisation
  • Multithreaded constraint programming: A hybrid approach
  • CP approaches to scheduling
  • Nurse rostering as constraint satisfaction with fuzzy constraints and inferred control strategies
  • A constraint-based approach to satellite scheduling
  • Minimization of the number of breaks in sports scheduling problems using constraint programming
  • A constraint programming pre-processor for a bus driver scheduling system
  • LSCO and software methodology
  • Large scale combinatorial optimization: A methodological viewpoint
Review Copy – for publishers of book reviews
Accessibility – to request an alternate format of an AMS title
Please select which format for which you are requesting permissions.