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Development of a Diversity‐Preserving Strategy for the Pareto Optimization in Chemical Process Design
Author(s) -
Zimmermann Kristina,
Fieg Georg
Publication year - 2017
Publication title -
chemie ingenieur technik
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.365
H-Index - 36
eISSN - 1522-2640
pISSN - 0009-286X
DOI - 10.1002/cite.201700052
Subject(s) - multi objective optimization , mathematical optimization , pareto principle , process (computing) , variety (cybernetics) , computer science , biochemical engineering , decision maker , genetic algorithm , process optimization , industrial engineering , engineering , operations research , mathematics , artificial intelligence , environmental engineering , operating system
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.