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...
Saved in:
Published in | 2018 Annual IEEE International Systems Conference (SysCon) pp. 1 - 8 |
---|---|
Main Authors | , , , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
01.04.2018
|
Subjects | |
Online Access | Get full text |
Cover
Loading…
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 |