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If an optimisation algorithm performs a search in an environment that changes over time, it should be able to follow these changes and adapt itself for handling them in order to achieve good results. Different types of dynamics in a changing environment require the use of different approaches. Hyper-heuristics represent a class of methodologies that are high level heuristics performing search over a set of low level heuristics. Due to the generality of hyperheuristic frameworks, they aredoi:10.1145/1570256.1570302 dblp:conf/gecco/OzcanUB09 fatcat:6jg6inlx4vcfblfkukoknefu4e