Invasive weed optimization for solving index tracking problems
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Author (Corporation)
Publication date
2015
Typ of student thesis
Course of study
Collections
Type
01A - Journal article
Editors
Editor (Corporation)
Supervisor
Parent work
Soft Computing
Special issue
DOI of the original publication
Link
Series
Series number
Volume
20
Issue / Number
Pages / Duration
3393-3401
Patent number
Publisher / Publishing institution
Springer
Place of publication / Event location
Heidelberg
Edition
Version
Programming language
Assignee
Practice partner / Client
Keywords
Subject (DDC)
Event
Exhibition start date
Exhibition end date
Conference start date
Conference end date
Date of the last check
ISBN
ISSN
1432-7643
1433-7479
1433-7479
Language
English
Created during FHNW affiliation
Yes
Strategic action fields FHNW
Publication status
Published
Review
Peer review of the complete publication
Open access category
Closed
License
Citation
Affolter, K., Hanne, T., Schweizer, D., & Dornberger, R. (2015). Invasive weed optimization for solving index tracking problems. Soft Computing, 20, 3393–3401. https://doi.org/10.1007/s00500-015-1799-x