Optimization of systems with nested design space

Finding a good solution to an engineering problem under given constraints can be formulated as an optimization problem over a set of parameters. Existing (semi-)automatic methodologies for this task usually assume that these design parameters form a homogeneous set. The paper analyses the structure...

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Bibliographic Details
Published in2018 Annual IEEE International Systems Conference (SysCon) pp. 1 - 8
Main Authors Zimmermann, Armin, Maschotta, Ralph, Wichmann, Alexander, Hilbrich, Robert
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.04.2018
Subjects
Aerospace electronics
Optimization
Software
Space exploration
Task analysis
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Summary:Finding a good solution to an engineering problem under given constraints can be formulated as an optimization problem over a set of parameters. Existing (semi-)automatic methodologies for this task usually assume that these design parameters form a homogeneous set. The paper analyses the structure of design space and introduces the formal concept of existence-dependent parameters, which appear for instance in the optimization of system architectures. The corresponding nested optimization problems can be solved more efficiently considering the dependency relations, and will often require a mix of models and optimization algorithms. The paper proposes a completely model-driven integration methodology for such problems and a prototype tool combining several existing domain-specific tools. An application example from the area of distributed embedded systems design of hardware architecture and software mapping demonstrates the applicability.
ISSN:2472-9647
DOI:10.1109/SYSCON.2018.8369550