Multiobjective optimization for interwoven systems

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 obv...

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Bibliographic Details
Published in:Journal of multi-criteria decision analysis 2017-01, Vol.24 (1-2), p.71-81
Main Authors: Klamroth, Kathrin, Mostaghim, Sanaz, Naujoks, Boris, Poles, Silvia, Purshouse, Robin, Rudolph, Günter, Ruzika, Stefan, Sayın, Serpil, Wiecek, Margaret M., Yao, Xin
Format: Article
Language:English
Subjects:
interwoven systems
multiobjective optimization
Optimization
systems of systems
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Summary: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.
ISSN:1057-9214
1099-1360
DOI:10.1002/mcda.1598