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Multi‐Objective Optimization and Decision Support in Process Engineering – Implementation and Application
Author(s) -
Burger Jakob,
Asprion Norbert,
Blagov Sergej,
Böttcher Roger,
Nowak Uwe,
Bortz Michael,
Welke Richard,
Küfer KarlHeinz,
Hasse Hans
Publication year - 2014
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.201400008
Subject(s) - pareto principle , multi objective optimization , workflow , process (computing) , computer science , engineering optimization , decision support system , mathematical optimization , set (abstract data type) , optimization problem , industrial engineering , engineering , mathematics , data mining , machine learning , algorithm , database , programming language , operating system
Chemical process design is a multi‐objective optimization problem with conflicting objectives. It can be solved efficiently by calculating the Pareto frontier, a set of Pareto‐optimal compromises. This work describes how multi‐objective optimization and decision support techniques have been implemented in the process simulation software CHEMASIM. The Pareto frontier is calculated automatically and an innovative slider concept is used to navigate the results and to support the decision making. With the help of two examples, the optimization of the process design workflow is demonstrated.