Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/15124
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dc.contributor.authorOchoa, Gabriela-
dc.contributor.authorWalker, James-
dc.contributor.authorHyde, Matthew-
dc.contributor.authorCurtois, Tim-
dc.contributor.editorCoello, Coello CA-
dc.contributor.editorCutello, V-
dc.contributor.editorDeb, K-
dc.contributor.editorForrest, S-
dc.contributor.editorNicosia, G-
dc.contributor.editorPavone, M-
dc.date.accessioned2016-12-03T02:55:03Z-
dc.date.issued2012-
dc.identifier.urihttp://hdl.handle.net/1893/15124-
dc.description.abstractHyFlex 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.en_UK
dc.language.isoen-
dc.publisherSpringer-
dc.relationOchoa G, Walker J, Hyde M & Curtois T (2012) Adaptive evolutionary algorithms and extensions to the HyFlex hyper-heuristic framework In: Coello Coello CA, Cutello V, Deb K, Forrest S, Nicosia G, Pavone M (ed.) Parallel Problem Solving from Nature - PPSN XII: 12th International Conference, Taormina, Italy, September 1-5, 2012, Proceedings, Part II, Amsterdam: Springer. 12th International Conference, 1.9.2012 - 5.9.2012, Taormina, Italy, pp. 418-427.-
dc.relation.ispartofseriesLecture Notes in Computer Science, Vol. 7492-
dc.rightsThe publisher does not allow this work to be made publicly available in this Repository. Please use the Request a Copy feature at the foot of the Repository record to request a copy directly from the author. You can only request a copy if you wish to use this work for your own research or private study.-
dc.titleAdaptive evolutionary algorithms and extensions to the HyFlex hyper-heuristic frameworken_UK
dc.typeConference Paperen_UK
dc.rights.embargodate2999-12-31T00:00:00Z-
dc.rights.embargoreasonThe publisher does not allow this work to be made publicly available in this Repository therefore there is an embargo on the full text of the work.-
dc.citation.issn0302-9743-
dc.citation.spage418-
dc.citation.epage427-
dc.citation.publicationstatusPublished-
dc.citation.peerreviewedRefereed-
dc.type.statusBook Chapter: publisher version-
dc.identifier.urlhttp://link.springer.com/chapter/10.1007%2F978-3-642-32964-7_42#-
dc.author.emailgabriela.ochoa@stir.ac.uk-
dc.citation.btitleParallel Problem Solving from Nature - PPSN XII: 12th International Conference, Taormina, Italy, September 1-5, 2012, Proceedings, Part II-
dc.citation.conferencedates2012-09-01T00:00:00Z-
dc.citation.conferencelocationTaormina, Italy-
dc.citation.conferencename12th International Conference-
dc.citation.date09/2012-
dc.citation.isbn978-3-642-32963-0-
dc.publisher.addressAmsterdam-
dc.contributor.affiliationComputing Science - CSM Dept-
dc.contributor.affiliationUniversity of Nottingham-
dc.contributor.affiliationUniversity of Nottingham-
dc.contributor.affiliationUniversity of Nottingham-
dc.rights.embargoterms2999-12-31-
dc.rights.embargoliftdate2999-12-31-
Appears in Collections:Computing Science and Mathematics Conference Papers and Proceedings

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