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Design, engineering, and experimental analysis of a simulated annealing approach to the post-enrolment course timetabling problem
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Outgoing claims: the papers this work cites, builds on, or argues with.
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The University Course Timetabling Problem with a Three-Phase Approach
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Application of the Grouping Genetic Algorithm to University Course Timetabling
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An Extended Implementation of the Great Deluge Algorithm for Course Timetabling
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A survey of metaheuristic-based techniques for University Timetabling problems
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A time-dependent metaheuristic algorithm for post enrolment-based course timetabling
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Curriculum based course timetabling: new solutions to Udine benchmark instances
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An effective hybrid algorithm for university course timetabling
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Design and statistical analysis of a hybrid local search algorithm for course timetabling
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Finding a feasible course schedule using Tabu search
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Lower bounds for the ITC-2007 curriculum-based course timetabling problem
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Recent research directions in automated timetabling
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A Survey of Automated Timetabling
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A clique-based algorithm for constructing feasible timetables
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A hybrid evolutionary approach to the university course timetabling problem
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A Hybrid Simulated Annealing with Kempe Chain Neighborhood for the University Timetabling Problem
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Curriculum based course timetabling
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Great deluge with non-linear decay rate for solving course timetabling problems
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Finding Feasible Timetables Using Group-Based Operators
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Optimization by Simulated Annealing
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Efficient Nearly Orthogonal and Space-Filling Latin Hypercubes
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Setting the Research Agenda in Automated Timetabling: The Second International Timetabling Competition
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Local Search in Combinatorial Optimization
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A time-predefined approach to course timetabling
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Local Search in Combinatorial Optimization
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Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Personalized Course Timetabling by Adaptive Multi-Objective Neighborhood Optimization
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