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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 11: A Hyperheuristic Approach to Scheduling a Sales Summit
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Chapter title
A Hyperheuristic Approach to Scheduling a Sales Summit
Chapter number 11
Book title
Practice and Theory of Automated Timetabling III
Published by
Springer Berlin Heidelberg, August 2000
DOI 10.1007/3-540-44629-x_11
Book ISBNs
978-3-54-042421-5, 978-3-54-044629-3
Authors

Peter Cowling, Graham Kendall, Eric Soubeiga

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X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 145 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 3 2%
Malaysia 2 1%
Germany 2 1%
Brazil 2 1%
United States 1 <1%
Unknown 135 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 39 27%
Student > Master 29 20%
Researcher 9 6%
Student > Bachelor 9 6%
Professor 7 5%
Other 27 19%
Unknown 25 17%
Readers by discipline Count As %
Computer Science 73 50%
Engineering 21 14%
Business, Management and Accounting 6 4%
Mathematics 5 3%
Biochemistry, Genetics and Molecular Biology 2 1%
Other 3 2%
Unknown 35 24%