Index tracking with invasive weed optimization
| dc.contributor.author | Affolter, Konstantin | |
| dc.contributor.author | Schweizer, Daniel | |
| dc.contributor.author | Hanne, Thomas | |
| dc.contributor.author | Dornberger, Rolf | |
| dc.date.accessioned | 2026-05-22T12:11:15Z | |
| dc.date.issued | 2014 | |
| dc.description.abstract | In 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.event | 2014 International Conference on Soft Computing and Machine Intelligence | |
| dc.event.end | 2014-09-27 | |
| dc.event.start | 2014-09-26 | |
| dc.identifier.doi | 10.1109/ISCMI.2014.9 | |
| dc.identifier.isbn | 978-1-4673-6751-6 | |
| dc.identifier.uri | https://irf.fhnw.ch/handle/11654/56259 | |
| dc.language.iso | en | |
| dc.publisher | IEEE | |
| dc.relation.ispartof | 2014 International Conference on Soft Computing & Machine Intelligence. ISCMI 2014 | |
| dc.spatial | Los Alamitos | |
| dc.subject.ddc | 330 - Wirtschaft | |
| dc.title | Index tracking with invasive weed optimization | |
| dc.type | 04B - Beitrag Konferenzschrift | |
| dspace.entity.type | Publication | |
| fhnw.InventedHere | Yes | |
| fhnw.ReviewType | peer-reviewed | |
| fhnw.affiliation.hochschule | Hochschule für Wirtschaft FHNW | de_CH |
| fhnw.affiliation.institut | Institut für Wirtschaftsinformatik | de_CH |
| fhnw.openAccessCategory | Closed | |
| fhnw.pagination | 110-114 | |
| fhnw.publicationState | Published | |
| relation.isAuthorOfPublication | 35d8348b-4dae-448a-af2a-4c5a4504da04 | |
| relation.isAuthorOfPublication | 64196f63-c326-4e10-935d-6776cc91354c | |
| relation.isAuthorOfPublication.latestForDiscovery | 35d8348b-4dae-448a-af2a-4c5a4504da04 |
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