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Multiobjective optimization for interwoven systems
Author(s) -
Klamroth Kathrin,
Mostaghim Sanaz,
Naujoks Boris,
Poles Silvia,
Purshouse Robin,
Rudolph Günter,
Ruzika Stefan,
Sayın Serpil,
Wiecek Margaret M.,
Yao Xin
Publication year - 2017
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.1598
Subject(s) - computer science , focus (optics) , field (mathematics) , complex system , management science , distributed computing , theoretical computer science , systems engineering , artificial intelligence , mathematics , engineering , pure mathematics , optics , physics
In practical situations, complex systems are often composed of subsystems or subproblems with single or multiple objectives. These subsystems focus on different aspects of the overall system, but they often have strong interactions with each other and they are usually not sequentially ordered or obviously decomposable. Thus, the individual solutions of subproblems do not generally induce a solution for the overall system. Here, we strive to identify “re‐composition architectures” of such “interwoven” systems. Our intention is to connect the subsystems adequately, analyze the resulting performance, model/solve the overall system, and improve the overall solution instead of just solving each subsystem separately. We review recent developments in this field and discuss modeling and solution paradigms in a general and unified framework using the example of an interwoven system consisting of two interacting subsystems.