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
A general heuristic for vehicle routing problems
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Extreme Value Based Adaptive Operator Selection
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Adaptive iterated local search for cross-domain optimisation
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Classification of adaptive memetic algorithms: a comparative study
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Coevolving Memetic Algorithms: A Review and Progress Report
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Vehicle routing and adaptive iterated local search within the hyflex hyper-heuristic framework
LION'12 Proceedings of the 6th international conference on Learning and Intelligent Optimization
A hyper-heuristic inspired by pearl hunting
LION'12 Proceedings of the 6th international conference on Learning and Intelligent Optimization
An intelligent hyper-heuristic framework for CHeSC 2011
LION'12 Proceedings of the 6th international conference on Learning and Intelligent Optimization
Hyper-heuristics and cross-domain optimization
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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
Adaptive evolutionary algorithms and extensions to the hyflex hyper-heuristic framework
PPSN'12 Proceedings of the 12th international conference on Parallel Problem Solving from Nature - Volume Part II
A non-adaptive stochastic local search algorithm for the CHeSC 2011 competition
LION'12 Proceedings of the 6th international conference on Learning and Intelligent Optimization
Vehicle routing and adaptive iterated local search within the hyflex hyper-heuristic framework
LION'12 Proceedings of the 6th international conference on Learning and Intelligent Optimization
A hyper-heuristic inspired by pearl hunting
LION'12 Proceedings of the 6th international conference on Learning and Intelligent Optimization
An intelligent hyper-heuristic framework for CHeSC 2011
LION'12 Proceedings of the 6th international conference on Learning and Intelligent Optimization
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
A new hyper-heuristic as a general problem solver: an implementation in HyFlex
Journal of Scheduling
HH-evolver: a system for domain-specific, hyper-heuristic evolution
Proceedings of the 15th annual conference companion on Genetic and evolutionary computation
HH-DSL: a domain specific language for selection hyper-heuristics
Proceedings of the 15th annual conference companion on Genetic and evolutionary computation
Contrasting meta-learning and hyper-heuristic research: the role of evolutionary algorithms
Genetic Programming and Evolvable Machines
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This paper presents HyFlex, a software framework for the development of cross-domain search methodologies. The framework features a common software interface for dealing with different combinatorial optimisation problems and provides the algorithm components that are problem specific. In this way, the algorithm designer does not require a detailed knowledge of the problem domains and thus can concentrate his/her efforts on designing adaptive general-purpose optimisation algorithms. Six hard combinatorial problems are fully implemented: maximum satisfiability, one dimensional bin packing, permutation flow shop, personnel scheduling, traveling salesman and vehicle routing. Each domain contains a varied set of instances, including real-world industrial data and an extensive set of state-of-the-art problem specific heuristics and search operators. HyFlex represents a valuable new benchmark of heuristic search generality, with which adaptive cross-domain algorithms are being easily developed and reliably compared.This article serves both as a tutorial and a as survey of the research achievements and publications so far using HyFlex.