Please use this identifier to cite or link to this item:https://hdl.handle.net/20.500.12259/43986
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
Internet: https://doi.org/10.1016/j.compchemeng.2006.02.003
Affiliation(s): Matematikos ir informatikos institutas
Vytauto Didžiojo universitetas
Appears in Collections:Universiteto mokslo publikacijos / University Research Publications

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