A two-phase heuristic evolutionary algorithm for personalizing course timetables: a case study in a Spanish university

DOI10.1016/j.cor.2003.11.030zbMath1075.90065OpenAlexW1989710875MaRDI QIDQ1777154

Sancho Salcedo-Sanz, Ricardo Santiago-Mozos, Mario DePrado-Cumplido, Carlos Bousoño-Calzón

Publication date: 12 May 2005

Published in: Computers \& Operations Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cor.2003.11.030

zbMATH Keywords

HeuristicsCombinatorial optimizationEvolutionary algorithmsTimetabling

Mathematics Subject Classification ID

Approximation methods and heuristics in mathematical programming (90C59) Combinatorial optimization (90C27)

Related Items (8)

Adaptive tabu search for course timetabling ⋮ A dynamic Thompson sampling hyper-heuristic framework for learning activity planning in personalized learning ⋮ A multi-objective mixed integer linear programming model for thesis defence scheduling ⋮ An adaptive large neighbourhood search metaheuristic for hourly learning activity planning in personalised learning ⋮ A survey of repair methods used as constraint handling techniques in evolutionary algorithms ⋮ Applying evolutionary computation to the school timetabling problem: The Greek case ⋮ Applying the threshold accepting metaheuristic to~curriculum based course timetabling ⋮ Team formation based on group technology: a hybrid grouping genetic algorithm approach

Cites Work

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• An introduction to timetabling
• Metaheuristics for high school timetabling
• Recent research directions in automated timetabling
• Hybrid genetic algorithms for timetabling

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