English
 
User Manual Privacy Policy Disclaimer Contact us
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
 
 
DownloadE-Mail
  Global optimization of distillation columns using surrogate models

Keßler, T., Kunde, C., Mertens, N., Michaels, D., & Kienle, A. (2017). Global optimization of distillation columns using surrogate models. In EUROGEN 2017: Book of Abstracts (pp. 1-7). Madrid, Spain: Technical University.

Item is

Basic

show hide
Item Permalink: http://hdl.handle.net/21.11116/0000-0000-CE78-2 Version Permalink: http://hdl.handle.net/21.11116/0000-0000-CE7F-B
Genre: Conference Paper

Files

show Files
hide Files
:
2556363_kienle.pdf (Publisher version), 186KB
 
File Permalink:
-
Name:
2556363_kienle.pdf
Description:
-
Visibility:
Private
MIME-Type / Checksum:
application/pdf
Technical Metadata:
Copyright Date:
-
Copyright Info:
-
License:
-

Locators

show

Creators

show
hide
 Creators:
Keßler, Tobias1, Author              
Kunde, Christian2, Author              
Mertens, Nick3, Author
Michaels, Dennis3, Author
Kienle, Achim1, 2, Author              
Affiliations:
1Process Synthesis and Process Dynamics, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, ou_1738153              
2Otto-von-Guericke-Universität Magdeburg, External Organizations, ou_1738156              
3TU Dortmund, Germany, ou_persistent22              

Content

show

Details

show
hide
Language(s): eng - English
 Dates: 2017
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: Peer
 Identifiers: -
 Degree: -

Event

show
hide
Title: EUROGEN 2017 : volutionary and deterministic methods for design optimization and control with applications to industrial and societal problems
Place of Event: Madrid, Spain
Start-/End Date: 2017-09-13 - 2017-09-15

Legal Case

show

Project information

show

Source 1

show
hide
Title: EUROGEN 2017 : Book of Abstracts
Source Genre: Proceedings
 Creator(s):
Affiliations:
Publ. Info: Madrid, Spain : Technical University
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 1 - 7 Identifier: ISBN: 978-84-697-5112-1