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Practice and Theory of Automated Timetabling III

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Cover of 'Practice and Theory of Automated Timetabling III'

Table of Contents

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    Book Overview
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    Chapter 1 A Multiobjective Genetic Algorithm for the Class/Teacher Timetabling Problem
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    Chapter 2 Some Complexity Aspects of Secondary School Timetabling Problems
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    Chapter 3 A Generic Object-Oriented Constraint-Based Model for University Course Timetabling
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    Chapter 4 A Co-Evolving Timeslot/Room Assignment Genetic Algorithm Technique for University Timetabling
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    Chapter 5 A Comprehensive Course Timetabling and Student Scheduling System at the University of Waterloo
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    Chapter 6 Examination Timetables and Tabu Search with Longer-Term Memory
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    Chapter 7 Tabu Search Techniques for Examination Timetabling
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    Chapter 8 Practice and Theory of Automated Timetabling III
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    Chapter 9 A Grouping Genetic Algorithm for Graph Colouring and Exam Timetabling
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    Chapter 10 Cyclical Staff Scheduling Using Constraint Logic Programming
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    Chapter 11 A Hyperheuristic Approach to Scheduling a Sales Summit
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    Chapter 12 Solving Rostering Tasks as Constraint Optimization
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    Chapter 13 Assigning Resources to Constrained Activities
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    Chapter 14 Fleet Scheduling Optimization: A Simulated Annealing Approach
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    Chapter 15 A Schedule-Then-Break Approach to Sports Timetabling
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    Chapter 16 Three Methods to Automate the Space Allocation Process in UK Universities
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    Chapter 17 Resource-Constrained Project Scheduling and Timetabling
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    Chapter 18 Graph Colouring by Maximal Evidence Edge Adding
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    Chapter 19 Modelling Timetabling Problems with STTL
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    Chapter 20 A Language for Specifying Complete Timetabling Problems
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    Chapter 21 A Software Architecture for Timetable Construction
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    Chapter 22 Other Timetabling Presentations
Attention for Chapter 7: Tabu Search Techniques for Examination Timetabling
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Citations

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Chapter title
Tabu Search Techniques for Examination Timetabling
Chapter number 7
Book title
Practice and Theory of Automated Timetabling III
Published by
Springer, Berlin, Heidelberg, August 2000
DOI 10.1007/3-540-44629-x_7
Book ISBNs
978-3-54-042421-5, 978-3-54-044629-3
Authors

Luca Di Gaspero, Andrea Schaerf

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 2%
Italy 1 2%
Brazil 1 2%
United Kingdom 1 2%
Iran, Islamic Republic of 1 2%
Unknown 50 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 24%
Student > Bachelor 12 22%
Student > Master 9 16%
Professor > Associate Professor 5 9%
Student > Postgraduate 3 5%
Other 5 9%
Unknown 8 15%
Readers by discipline Count As %
Computer Science 27 49%
Mathematics 7 13%
Engineering 5 9%
Business, Management and Accounting 4 7%
Unspecified 1 2%
Other 0 0%
Unknown 11 20%