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Practice and Theory of Automated Timetabling III

Overview of attention for book
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
Overall attention for this book and its chapters
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (66th percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

Mentioned by

twitter
1 X user
wikipedia
4 Wikipedia pages

Citations

dimensions_citation
18 Dimensions

Readers on

mendeley
39 Mendeley
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Title
Practice and Theory of Automated Timetabling III
Published by
Lecture notes in computer science, September 2001
DOI 10.1007/3-540-44629-x
ISBNs
978-3-54-042421-5, 978-3-54-044629-3
Authors

Edmund Burke, Wilhelm Erben

Editors

Burke, Edmund, Erben, Wilhelm

X Demographics

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 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 39 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 3%
Researcher 1 3%
Student > Doctoral Student 1 3%
Unknown 36 92%
Readers by discipline Count As %
Engineering 2 5%
Computer Science 1 3%
Unknown 36 92%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 13 March 2022.
All research outputs
#7,413,628
of 23,330,477 outputs
Outputs from Lecture notes in computer science
#2,404
of 8,158 outputs
Outputs of similar age
#13,298
of 40,406 outputs
Outputs of similar age from Lecture notes in computer science
#12
of 37 outputs
Altmetric has tracked 23,330,477 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 8,158 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has gotten more attention than average, scoring higher than 69% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 40,406 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.
We're also able to compare this research output to 37 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.