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Practice and Theory of Automated Timetabling V

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Cover of 'Practice and Theory of Automated Timetabling V'

Table of Contents

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    Book Overview
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    Chapter 1 Learning User Preferences in Distributed Calendar Scheduling
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    Chapter 2 Semantic Components for Timetabling
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    Chapter 3 An Open Interactive Timetabling Tool
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    Chapter 4 Distributed Choice Function Hyper-heuristics for Timetabling and Scheduling
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    Chapter 5 A Hybridised Integer Programming and Local Search Method for Robust Train Driver Schedules Planning
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    Chapter 6 Logistics Service Network Design for Time-Critical Delivery
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    Chapter 7 The University Course Timetabling Problem with a Three-Phase Approach
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    Chapter 8 Minimal Perturbation Problem in Course Timetabling
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    Chapter 9 Feature Selection in a Fuzzy Student Sectioning Algorithm
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    Chapter 10 A Column Generation Scheme for Faculty Timetabling
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    Chapter 11 Decomposition and Parallelization of Multi-resource Timetabling Problems
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    Chapter 12 Interactively Solving School Timetabling Problems Using Extensions of Constraint Programming
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    Chapter 13 A Tiling Algorithm for High School Timetabling
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    Chapter 14 Lower Bounds for the Multi-skill Project Scheduling Problem with Hierarchical Levels of Skills
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    Chapter 15 A Novel Similarity Measure for Heuristic Selection in Examination Timetabling
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    Chapter 16 A Tabu Search Hyper-heuristic Approach to the Examination Timetabling Problem at the MARA University of Technology
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    Chapter 17 A Hybrid Multi-objective Evolutionary Algorithm for the Uncapacitated Exam Proximity Problem
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    Chapter 18 Examination Timetabling with Fuzzy Constraints
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    Chapter 19 Practice and Theory of Automated Timetabling V
Attention for Chapter 7: The University Course Timetabling Problem with a Three-Phase Approach
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