Multiobjective optimization for interwoven systems

Kathrin KLAMROTH, Sanaz MOSTAGHIM, Boris NAUJOKS, Silvia POLES, Robin PURSHOUSE, Günter RUDOLPH, Stefan RUZIKA, Serpil SAYIN, Margaret M. WIECEK, Xin YAO

Research output: Journal PublicationsJournal Article (refereed)peer-review

17 Citations (Scopus)


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. Copyright © 2017 John Wiley & Sons, Ltd.
Original languageEnglish
Pages (from-to)71-81
Number of pages11
JournalJournal of Multi-Criteria Decision Analysis
Issue number1-2
Publication statusPublished - Jan 2017
Externally publishedYes


  • interwoven systems
  • multiobjective optimization
  • systems of systems


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