Numerical Optimization of Computer Models
Numerical Optimization of Computer Models
A Memetic Algorithm for University Exam Timetabling
Selected papers from the First International Conference on Practice and Theory of Automated Timetabling
Examination Timetabling in British Universities: A Survey
Selected papers from the First International Conference on Practice and Theory of Automated Timetabling
An analysis of the behavior of a class of genetic adaptive systems.
An analysis of the behavior of a class of genetic adaptive systems.
A Tabu-Search Hyperheuristic for Timetabling and Rostering
Journal of Heuristics
Case-based heuristic selection for timetabling problems
Journal of Scheduling
Distributed choice function hyper-heuristics for timetabling and scheduling
PATAT'04 Proceedings of the 5th international conference on Practice and Theory of Automated Timetabling
A comprehensive analysis of hyper-heuristics
Intelligent Data Analysis
A multi-objective evolutionary algorithm for examination timetabling
Journal of Scheduling
Examination timetabling using late acceptance hyper-heuristics
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Scheduling English football fixtures over the holiday period using hyper-heuristics
PPSN'10 Proceedings of the 11th international conference on Parallel problem solving from nature: Part I
Scatter search technique for exam timetabling
Applied Intelligence
Frequency distribution based hyper-heuristic for the bin-packing problem
EvoCOP'11 Proceedings of the 11th European conference on Evolutionary computation in combinatorial optimization
Neural networks to guide the selection of heuristics within constraint satisfaction problems
MCPR'11 Proceedings of the Third Mexican conference on Pattern recognition
Hill climbers and mutational heuristics in hyperheuristics
PPSN'06 Proceedings of the 9th international conference on Parallel Problem Solving from Nature
Solving effectively the school timetabling problem using particle swarm optimization
Expert Systems with Applications: An International Journal
The Interleaved Constructive Memetic Algorithm and its application to timetabling
Computers and Operations Research
Information Sciences: an International Journal
A hyper-heuristic approach for the unit commitment problem
EvoCOMNET'10 Proceedings of the 2010 international conference on Applications of Evolutionary Computation - Volume Part II
One hyper-heuristic approach to two timetabling problems in health care
Journal of Heuristics
A hybrid particle swarm optimization based algorithm for high school timetabling problems
Applied Soft Computing
An improved choice function heuristic selection for cross domain heuristic search
PPSN'12 Proceedings of the 12th international conference on Parallel Problem Solving from Nature - Volume Part II
Learning vector quantization for variable ordering in constraint satisfaction problems
Pattern Recognition Letters
Parallel Scatter Search Algorithms for Exam Timetabling
International Journal of Applied Metaheuristic Computing
A comparative study of hyper-heuristics for solving the school timetabling problem
Proceedings of the South African Institute for Computer Scientists and Information Technologists Conference
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Hyper-heuristics are proposed as a higher level of abstraction as compared to the metaheuristics. Hyper-heuristic methods deploy a set of simple heuristics and use only non-problem-specific data, such as fitness change or heuristic execution time. A typical iteration of a hyper-heuristic algorithm consists of two phases: the heuristic selection method and move acceptance. In this paper, heuristic selection mechanisms and move acceptance criteria in hyper-heuristics are analyzed in depth. Seven heuristic selection methods and five acceptance criteria are implemented. The performance of each selection and acceptance mechanism pair is evaluated on 14 well-known benchmark functions and 21 exam timetabling problem instances.