Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
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
A Study on the use of "self-generation'' in memetic algorithms
Natural Computing: an international journal
Case-based heuristic selection for timetabling problems
Journal of Scheduling
Memetic algorithms for parallel code optimization
International Journal of Parallel Programming
Solving a real-world problem using an evolving heuristically driven schedule builder
Evolutionary Computation
An experimental study on hyper-heuristics and exam timetabling
PATAT'06 Proceedings of the 6th international conference on Practice and theory of automated timetabling VI
Hill climbers and mutational heuristics in hyperheuristics
PPSN'06 Proceedings of the 9th international conference on Parallel Problem Solving from Nature
Memetic algorithms for nurse rostering
ISCIS'05 Proceedings of the 20th international conference on Computer and Information Sciences
Building hyper-heuristics through ant colony optimization for the 2d bin packing problem
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part IV
Distributed choice function hyper-heuristics for timetabling and scheduling
PATAT'04 Proceedings of the 5th international conference on Practice and Theory of Automated Timetabling
No free lunch theorems for optimization
IEEE Transactions on Evolutionary Computation
Meta-Lamarckian learning in memetic algorithms
IEEE Transactions on Evolutionary Computation
A Grouping Genetic Algorithm Using Linear Linkage Encoding for Bin Packing
Proceedings of the 10th international conference on Parallel Problem Solving from Nature: PPSN X
Distributed hyper-heuristics for real parameter optimization
Proceedings of the 11th Annual conference on Genetic and evolutionary computation
A multi-level search framework for asynchronous cooperation of multiple hyper-heuristics
Proceedings of the 11th Annual Conference Companion on Genetic and Evolutionary Computation Conference: Late Breaking Papers
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
A cooperative hyper-heuristic search framework
Journal of Heuristics
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
Policy matrix evolution for generation of heuristics
Proceedings of the 13th annual conference on Genetic and evolutionary computation
An investigation of selection hyper-heuristics in dynamic environments
EvoApplications'11 Proceedings of the 2011 international conference on Applications of evolutionary computation - Volume Part I
EvoApplications'11 Proceedings of the 2011 international conference on Applications of evolutionary computation - Volume Part II
Neural networks to guide the selection of heuristics within constraint satisfaction problems
MCPR'11 Proceedings of the Third Mexican conference on Pattern recognition
The Interleaved Constructive Memetic Algorithm and its application to timetabling
Computers and Operations Research
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
Using hyperheuristics under a GP framework for financial forecasting
LION'05 Proceedings of the 5th international conference on Learning and Intelligent Optimization
HYPERION: a recursive hyper-heuristic framework
LION'05 Proceedings of the 5th international conference on Learning and Intelligent Optimization
Hyperheuristic for the parameter tuning of a bio-inspired algorithm of query routing in p2p networks
MICAI'11 Proceedings of the 10th international conference on Artificial Intelligence: advances in Soft Computing - Volume Part II
Hyper-heuristics with low level parameter adaptation
Evolutionary Computation
One hyper-heuristic approach to two timetabling problems in health care
Journal of Heuristics
Proceedings of the 14th annual conference on Genetic and evolutionary computation
Improving the performance of vector hyper-heuristics through local search
Proceedings of the 14th annual conference on Genetic and evolutionary computation
Proceedings of the 14th annual conference companion on Genetic and evolutionary computation
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
A framework to hybridize PBIL and a hyper-heuristic for dynamic environments
PPSN'12 Proceedings of the 12th international conference on Parallel Problem Solving from Nature - Volume Part II
Adaptive operator selection at the hyper-level
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
A hyper-heuristic with a round robin neighbourhood selection
EvoCOP'13 Proceedings of the 13th European conference on Evolutionary Computation in Combinatorial Optimization
Generalizing hyper-heuristics via apprenticeship learning
EvoCOP'13 Proceedings of the 13th European conference on Evolutionary Computation in Combinatorial Optimization
An ant-based selection hyper-heuristic for dynamic environments
EvoApplications'13 Proceedings of the 16th European conference on Applications of Evolutionary Computation
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
Exploration and exploitation in evolutionary algorithms: A survey
ACM Computing Surveys (CSUR)
A new hyper-heuristic as a general problem solver: an implementation in HyFlex
Journal of Scheduling
HH-DSL: a domain specific language for selection hyper-heuristics
Proceedings of the 15th annual conference companion on Genetic and evolutionary computation
Information Sciences: an International Journal
Predictive heuristics for decision-making in real-world environments
AGI'13 Proceedings of the 6th international conference on Artificial General Intelligence
On the investigation of hyper-heuristics on a financial forecasting problem
Annals of Mathematics and Artificial Intelligence
A hyper-heuristic approach to aircraft structural design optimization
Structural and Multidisciplinary Optimization
An analysis on separability for Memetic Computing automatic design
Information Sciences: an International Journal
Contrasting meta-learning and hyper-heuristic research: the role of evolutionary algorithms
Genetic Programming and Evolvable Machines
A multi-objective hyper-heuristic based on choice function
Expert Systems with Applications: An International Journal
An evolutionary-based hyper-heuristic approach for the Jawbreaker puzzle
Applied Intelligence
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Meta-heuristics such as simulated annealing, genetic algorithms and tabu search have been successfully applied to many difficult optimization problems for which no satisfactory problem specific solution exists. However, expertise is required to adopt a meta-heuristic for solving a problem in a certain domain. Hyper-heuristics introduce a novel approach for search and optimization. A hyper-heuristic method operates on top of a set of heuristics. The most appropriate heuristic is determined and applied automatically by the technique at each step to solve a given problem. Hyper-heuristics are therefore assumed to be problem independent and can be easily utilized by non-experts as well. In this study, a comprehensive analysis is carried out on hyper-heuristics. The best method is tested against genetic and memetic algorithms on fourteen benchmark functions. Additionally, new hyper-heuristic frameworks are evaluated for questioning the notion of problem independence.