Please use this identifier to cite or link to this item:
Type of publication: research article
Type of publication (PDB): Straipsnis Clarivate Analytics Web of Science / Article in Clarivate Analytics Web of Science (S1)
Field of Science: Informatika / Informatics (N009)
Author(s): Žilinskas, Antanas;Fraga, E. S;Mackutė-Varoneckienė, Aušra
Title: Data analysis and visualisation for robust multi-criteria process optimisation
Is part of: Computers and chemical engineering. Oxford : Pergamon-Elsevier science Ltd., 2006, Vol. 30, iss. 6-7
Extent: p. 1061-1071
Date: 2006
Keywords: Data analysis;Nonlinear optimization;Visualisation;Pareto sets
Abstract: Process optimisation is often a multi-criteria problem. Combined with the use of nonlinear models, generating a Pareto front can be difficult to achieve reliably. This paper describes the use of high-dimensional data analysis and visualisation techniques as the basis for a multi-step procedure for generating a Pareto front for a two criteria problem. A case study in process design is used to illustrate the procedure. The results show that the use of data analysis and visualisation can help gain insight into the Pareto optimal solutions or confirm the insight the engineer already has
Affiliation(s): Matematikos ir informatikos institutas
Vytauto Didžiojo universitetas
Appears in Collections:Universiteto mokslo publikacijos / University Research Publications

Files in This Item:
marc.xml10.3 kBXMLView/Open

MARC21 XML metadata

Show full item record
Export via OAI-PMH Interface in XML Formats
Export to Other Non-XML Formats

CORE Recommender

Citations 1

checked on Apr 24, 2021

Page view(s)

checked on May 1, 2021


checked on May 1, 2021

Google ScholarTM



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.