Index tracking with invasive weed optimization

dc.contributor.authorAffolter, Konstantin
dc.contributor.authorSchweizer, Daniel
dc.contributor.authorHanne, Thomas
dc.contributor.authorDornberger, Rolf
dc.date.accessioned2026-05-22T12:11:15Z
dc.date.issued2014
dc.description.abstractIn this paper we explore possibilities to solve the index tracking problem with Invasive Weed Optimization (IWO), a rather new metaheuristics algorithm. The complexity of this real life problem and especially its solution space and restrictions require substantial adaptation of the IWO algorithm. Although the method basically works well, the obtained results do not reach our intended benchmark.
dc.event2014 International Conference on Soft Computing and Machine Intelligence
dc.event.end2014-09-27
dc.event.start2014-09-26
dc.identifier.doi10.1109/ISCMI.2014.9
dc.identifier.isbn978-1-4673-6751-6
dc.identifier.urihttps://irf.fhnw.ch/handle/11654/56259
dc.language.isoen
dc.publisherIEEE
dc.relation.ispartof2014 International Conference on Soft Computing & Machine Intelligence. ISCMI 2014
dc.spatialLos Alamitos
dc.subject.ddc330 - Wirtschaft
dc.titleIndex tracking with invasive weed optimization
dc.type04B - Beitrag Konferenzschrift
dspace.entity.typePublication
fhnw.InventedHereYes
fhnw.ReviewTypepeer-reviewed
fhnw.affiliation.hochschuleHochschule für Wirtschaft FHNWde_CH
fhnw.affiliation.institutInstitut für Wirtschaftsinformatikde_CH
fhnw.openAccessCategoryClosed
fhnw.pagination110-114
fhnw.publicationStatePublished
relation.isAuthorOfPublication35d8348b-4dae-448a-af2a-4c5a4504da04
relation.isAuthorOfPublication64196f63-c326-4e10-935d-6776cc91354c
relation.isAuthorOfPublication.latestForDiscovery35d8348b-4dae-448a-af2a-4c5a4504da04
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