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On interactive multiobjective optimization with NIMBUS ® in chemical process design
Author(s) -
Hakanen Jussi,
Miettinen Kaisa,
Mäkelä Marko M.,
Manninen Jussi
Publication year - 2005
Publication title -
journal of multi‐criteria decision analysis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.462
H-Index - 47
eISSN - 1099-1360
pISSN - 1057-9214
DOI - 10.1002/mcda.378
Subject(s) - multi objective optimization , process (computing) , computer science , pareto principle , process design , chemical process , industrial engineering , mathematical optimization , process engineering , engineering , process integration , mathematics , machine learning , chemical engineering , operating system
We study multiobjective optimization problems arising from chemical process simulation. The interactive multiobjective optimization method NIMBUS ® , developed at the University of Jyväskylä, is combined with the BALAS ® process simulator, developed at the VTT Technical Research Center of Finland, in order to provide a new interactive tool for designing chemical processes. Continuous interaction between the method and the designer provides a new efficient approach to explore Pareto optimal solutions and helps the designer to learn about the behaviour of the process. As an example of how the new tool can be used, we report the results of applying it in a heat recovery system design problem related to the process water system of a paper mill. Copyright © 2006 John Wiley & Sons, Ltd.