On multi-objective evolutionary algorithms

dc.contributor.authorFontes, Dalila B. M. M.
dc.contributor.authorGaspar-Cunha, A.
dc.date.accessioned2011-08-02T15:17:50Z
dc.date.available2011-08-02T15:17:50Z
dc.date.issued2010
dc.description.abstractIn this chapter Multi-Objective Evolutionary Algorithms (MOEAs) are introduced and some details discussed. It starts by giving a presentation of some of the concepts in which this type of algorithms are based on, in order to address the multi-objective nature of the real-world problems. Then, a summary of the main algorithms behind these approaches and their applications is provided, together with a brief discussion including their advantages and disadvantages, the degree of applicability, and some known applications. Finally, future trends in this area and some possible paths for further research are pointed out.por
dc.identifier.doi10.1007/978-3-540-92828-7_10por
dc.identifier.isbn9783540928270por
dc.identifier.issn1384-6485por
dc.identifier.urihttps://hdl.handle.net/1822/13258
dc.language.isoengpor
dc.peerreviewedyespor
dc.publisherSpringer por
dc.rightsrestrictedAccesspor
dc.subject.wosScience & Technologypor
dc.titleOn multi-objective evolutionary algorithmspor
dc.typebookPartpor
dspace.entity.typePublicationen
oaire.citationEndPage310por
oaire.citationStartPage287por
oaire.citationTitleHandbook of multicriteria analysispor
oaire.citationVolume103por
sdum.bookTitleHandbook of multicriteria analysispor
sdum.conferencePublicationHANDBOOK OF MULTICRITERIA ANALYSISpor
sdum.journalApplied Optimizationpor
sdum.publicationstatuspublishedpor

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