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dc.contributor.convenorKalyanmoy Deben_US
dc.contributor.authorRandall, Marcusen_US
dc.contributor.authorLewis, Andrewen_US
dc.contributor.editorEditor exceeds RIMS limiten_US
dc.date.accessioned2017-05-03T12:49:07Z
dc.date.available2017-05-03T12:49:07Z
dc.date.issued2010en_US
dc.date.modified2013-03-19T22:16:40Z
dc.identifier.refurihttp://www.iitk.ac.in/kangal/seal10/en_US
dc.identifier.doi10.1007/978-3-642-17298-4_12en_US
dc.identifier.urihttp://hdl.handle.net/10072/37515
dc.description.abstractIt is only relatively recently that extremal optimisation (EO) has been applied to combinatorial optimisation problems. As such, there have been only a few attempts to extend the paradigm to include standard search mechanisms that are routinely used by other techniques such as genetic algorithms, tabu search and ant colony optimisation. The key way to begin this process is to augment EO with attributes that it naturally lacks. While EO does not get confounded by local optima and is able to move through search space unencumbered, one of the major issues is to provide it with better search intensification strategies. In this paper, two strategies that compliment EO's mechanics are introduced and are used to augment an existing solver framework. Results, for single and population versions of the algorithm, demonstrate that intensification aids the performance of EO.en_US
dc.description.peerreviewedYesen_US
dc.description.publicationstatusYesen_US
dc.format.extent150940 bytes
dc.format.mimetypeapplication/pdf
dc.languageEnglishen_US
dc.language.isoen_US
dc.publisherSpringeren_US
dc.publisher.placeBerlin, Germanyen_US
dc.relation.ispartofstudentpublicationNen_US
dc.relation.ispartofconferencenameSimulated Evolution and Learning, 8th International Conference (SEAL 2010)en_US
dc.relation.ispartofconferencetitleSimulated Evolution and Learning, 8th International Conference (SEAL 2010)en_US
dc.relation.ispartofdatefrom2010-12-01en_US
dc.relation.ispartofdateto2010-12-04en_US
dc.relation.ispartoflocationKanpur, Indiaen_US
dc.rights.retentionYen_US
dc.subject.fieldofresearchComputer Software not elsewhere classifieden_US
dc.subject.fieldofresearchOptimisationen_US
dc.subject.fieldofresearchcode080399en_US
dc.subject.fieldofresearchcode010303en_US
dc.titleIntensification Strategies for Extremal Optimisationen_US
dc.typeConference outputen_US
dc.type.descriptionE1 - Conference Publications (HERDC)en_US
dc.type.codeE - Conference Publicationsen_US
gro.rights.copyrightCopyright 2010 Springer Berlin/Heidelberg. This is the author-manuscript version of this paper. Reproduced in accordance with the copyright policy of the publisher.The original publication is available at www.springerlink.comen_US
gro.date.issued2010
gro.hasfulltextFull Text


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