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
Extreme Value Based Adaptive Operator Selection
Proceedings of the 10th international conference on Parallel Problem Solving from Nature: PPSN X
A Compass to Guide Genetic Algorithms
Proceedings of the 10th international conference on Parallel Problem Solving from Nature: PPSN X
Reactive Search and Intelligent Optimization
Reactive Search and Intelligent Optimization
PISA: a platform and programming language independent interface for search algorithms
EMO'03 Proceedings of the 2nd international conference on Evolutionary multi-criterion optimization
Adaptive iterated local search for cross-domain optimisation
Proceedings of the 13th annual conference on Genetic and evolutionary computation
Classification of adaptive memetic algorithms: a comparative study
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
HyFlex: a benchmark framework for cross-domain heuristic search
EvoCOP'12 Proceedings of the 12th European conference on Evolutionary Computation in Combinatorial Optimization
A Guide-and-Observe Hyper-Heuristic Approach to the Eternity II Puzzle
Journal of Mathematical Modelling and Algorithms
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
A hyper-heuristic with a round robin neighbourhood selection
EvoCOP'13 Proceedings of the 13th European conference on Evolutionary Computation in Combinatorial Optimization
Search methodologies in real-world software engineering
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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HyFlex is a recently proposed software framework for implementing hyper-heuristics and domain-independent heuristic optimisation algorithms [13]. Although it was originally designed to implement hyper-heuristics, it provides a population and a set of move operators of different types. This enable the implementation of adaptive versions of other heuristics such as evolutionary algorithms and iterated local search. The contributions of this article are twofold. First, a number of extensions to the HyFlex framework are proposed and implemented that enable the design of more effective adaptive heuristics. Second, it is demonstrated that adaptive evolutionary algorithms can be implemented within the framework, and that the use of crossover and a diversity metric produced improved results, including a new best-known solution, on the studied vehicle routing problem.