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dc.contributor.authorNowostawski, Mariuszen_NZ
dc.contributor.authorEpiney, Lucienen_NZ
dc.contributor.authorPurvis, Martinen_NZ
dc.date.available2011-04-07T03:05:02Z
dc.date.copyright2005-03en_NZ
dc.identifier.citationNowostawski, M., Epiney, L., & Purvis, M. (2005). Self-adaptation and dynamic environment experiments with evolvable virtual machines (Information Science Discussion Papers Series No. 2005/03). University of Otago. Retrieved from http://hdl.handle.net/10523/819en
dc.identifier.urihttp://hdl.handle.net/10523/819
dc.description.abstractIncreasing complexity of software applications forces researchers to look for automated ways of programming and adapting these systems. Self-adapting, self-organising software system is one of the possible ways to tackle and manage higher complexity. A set of small independent problem solvers, working together in a dynamic environment, solving multiple tasks, and dynamically adapting to changing requirements is one way of achieving true self-adaptation in software systems. Our work presents a dynamic multi-task environment and experiments with a self-adapting software system. The Evolvable Virtual Machine (EVM) architecture is a model for building complex hierarchically organised software systems. The intrinsic properties of EVM allow the independent programs to evolve into higher levels of complexity, in a way analogous to multi-level, or hierarchical evolutionary processes. The EVM is designed to evolve structures of self-maintaining, self-adapting ensembles, that are open-ended and hierarchically organised. This article discusses the EVM architecture together with different statistical exploration methods that can be used with it. Based on experimental results, certain behaviours that exhibit self-adaptation in the EVM system are discussed.en_NZ
dc.format.mimetypeapplication/pdf
dc.publisherUniversity of Otagoen_NZ
dc.relation.ispartofseriesInformation Science Discussion Papers Seriesen_NZ
dc.subject.lcshQA76 Computer softwareen_NZ
dc.titleSelf-adaptation and dynamic environment experiments with evolvable virtual machinesen_NZ
dc.typeDiscussion Paperen_NZ
dc.description.versionUnpublisheden_NZ
otago.bitstream.pages17en_NZ
otago.date.accession2005-12-02en_NZ
otago.schoolInformation Scienceen_NZ
otago.openaccessOpen
otago.place.publicationDunedin, New Zealanden_NZ
dc.identifier.eprints17en_NZ
otago.school.eprintsInformation Scienceen_NZ
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otago.relation.number2005/03en_NZ
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