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Multiobjective genetic algorithms applied to heat transfer problems

In the present work, the multi-objective optimization by genetic algorithms is investigated and applied to heat transfer problems. Firstly, the work aims to compare different reproduction processes employed by genetic algorithms and two new promising processes are suggested. Secondly, in this work two heat transfer problems are studied under the multi-objective point of view. Specifically, the two cases studied are the wavy fins and the corrugated wall channel. Both these cases have already been studied by a single objective optimizer. Therefore, this work aims to extend the previous works in a more comprehensive study.

Identiferoai:union.ndltd.org:unibo.it/oai:amsdottorato.cib.unibo.it:1218
Date28 April 2009
CreatorsCopiello, Diego <1980>
ContributorsFabbri, Giampietro
PublisherAlma Mater Studiorum - Università di Bologna
Source SetsUniversità di Bologna
LanguageItalian
Detected LanguageEnglish
TypeDoctoral Thesis, PeerReviewed
Formatapplication/pdf
Rightsinfo:eu-repo/semantics/openAccess

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