Approximation Quality of the Hypervolume Indicator

Bringmann, Karl; Friedrich, Tobias

doi:10.1016/j.artint.2012.09.005

Item

ITEM ACTIONSEXPORT

DownloadE-Mail

Please note that a newer version of this item is available:
https://pure.mpg.de/pubman/item/item_1922474_6

DetailsSummary

Approximation Quality of the Hypervolume Indicator

Bringmann, K., & Friedrich, T. (2013). Approximation Quality of the Hypervolume Indicator. Artificial Intelligence, 195, 265-290. doi:10.1016/j.artint.2012.09.005.

Item is Released

show all hide all

Basic

show hide

Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0015-3B9C-B Version Permalink: https://hdl.handle.net/11858/00-001M-0000-0019-7D59-C

Genre: Journal Article

Files

show Files

Locators

show

Creators

show

hide

Creators:
Bringmann, Karl¹, Author
Friedrich, Tobias², Author

Affiliations:
1Algorithms and Complexity, MPI for Informatics, Max Planck Society, ou_24019
2External Organizations, ou_persistent22

Content

show

Details

show

hide

Language(s): eng - English

Dates: Published Online: 2012-09-19Date issued: 2013

Publication Status: Issued

Pages: -

Publishing info: -

Table of Contents: -

Rev. Type: -

Identifiers: BibTex Citekey: BringmannFjournal13
Other: Local-ID: D0EDAA3A44A164B5C1257C63005ED497-BringmannFjournal13
DOI: 10.1016/j.artint.2012.09.005

Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show

hide

Title: Artificial Intelligence

Source Genre: Journal

Creator(s):

Affiliations:

Publ. Info: Amsterdam : Elsevier

Pages: - Volume / Issue: 195 Sequence Number: - Start / End Page: 265 - 290 Identifier: ISSN: 0004-3702
CoNE: https://pure.mpg.de/cone/journals/resource/954925382047