Invasive weed optimization for solving index tracking problems
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Author (Corporation)
Publication date
2015
Type 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
Related research data
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-reviewed
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