Application of a hybrid genetic algorithm to airline crew scheduling
Computers and Operations Research - Special issue: artificial intelligence, evolutionary programming and operations research
A simulated-annealing heuristic for shift scheduling using non-continuously available employees
Computers and Operations Research
A Hyperheuristic Approach to Scheduling a Sales Summit
PATAT '00 Selected papers from the Third International Conference on Practice and Theory of Automated Timetabling III
Hyperheuristics: A Robust Optimisation Method Applied to Nurse Scheduling
PPSN VII Proceedings of the 7th International Conference on Parallel Problem Solving from Nature
A Hybrid Genetic Algorithm for School Timetabling
AI '02 Proceedings of the 15th Australian Joint Conference on Artificial Intelligence: Advances in Artificial Intelligence
A Tabu-Search Hyperheuristic for Timetabling and Rostering
Journal of Heuristics
A greedy hyper-heuristic in dynamic environments
Proceedings of the 11th Annual Conference Companion on Genetic and Evolutionary Computation Conference: Late Breaking Papers
Examination timetabling using late acceptance hyper-heuristics
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Autonomous operator management for evolutionary algorithms
Journal of Heuristics
A genetic programming based hyper-heuristic approach for combinatorial optimisation
Proceedings of the 13th annual conference on Genetic and evolutionary computation
Solving the ship inventory routing and scheduling problem with undedicated compartments
Computers and Industrial Engineering
Distributed choice function hyper-heuristics for timetabling and scheduling
PATAT'04 Proceedings of the 5th international conference on Practice and Theory of Automated Timetabling
Bacterial foraging based hyper-heuristic for resource scheduling in grid computing
Future Generation Computer Systems
A runtime analysis of simple hyper-heuristics: to mix or not to mix operators
Proceedings of the twelfth workshop on Foundations of genetic algorithms XII
An evolutionary-based hyper-heuristic approach for the Jawbreaker puzzle
Applied Intelligence
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The term hyperheuristic was introduced by the authors as a high-level heuristic that adaptively controls several low-level knowledgepoor heuristics so that while using only cheap, easy-to-implement low-level heuristics, we may achieve solution quality approaching that of an expensive knowledge-rich approach. For certain classes of problems, this allows us to rapidly produce effective solutions, in a fraction of the time needed for other approaches, and using a level of expertise common among non-academic IT professionals. Hyperheuristics have been successfully applied by the authors to a real-world problem of personnel scheduling. In this paper, the authors report another successful application of hyperheuristics to a rather different real-world problem of personnel scheduling occuring at a UK academic institution. Not only did the hyperheuristics produce results of a quality much superior to that of a manual solution but also these results were produced within a period of only three weeks due to the savings resulting from using the existing hyperheuristic software framework.