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Development of a diversity-preserving strategy for the pareto optimization in chemical process design
Publikationstyp
Journal Article
Date Issued
2017-08-29
Sprache
English
Author(s)
Institut
TORE-URI
Journal
Volume
89
Issue
10
Start Page
1297
End Page
1305
Citation
Chemie-Ingenieur-Technik 10 (89): 1297-1305 (2017-10-01)
Publisher DOI
Scopus ID
Publisher
Wiley-VCH Verl.
The simulation-based design of chemical processes with an overlaid multi-objective optimization is of growing importance. The quality of the determined optimization results, referred to as the Pareto front, influences directly the variety of solutions given to the decision maker. In case of the frequently used genetic algorithms, a lot of studies have been done for a precise approximation of the Pareto front. However, most of the developed methods are inconvenient and/or time-consuming and, thus, inappropriate for industrial applications. A novel approach, the two-step optimization, was successfully tested in order to overcome these challenges.
Subjects
Computer-aided process engineering Multi-objective optimization
Diversity
Genetic algorithm
Mixed integer nonlinear programming
Multi-objective optimization
DDC Class
540: Chemie
620: Ingenieurwissenschaften
More Funding Information
Financially supported by the GermanFederal Ministry of Economics and Technology as partof the ZIM program (Zentrales Innovationsprogramm Mittelstand, Project number: 2267711CM4).