Ontological reasoning in the design space exploration of advanced cyber–physical systems

Vanommeslaeghe, Yon; Denil, Joachim; Viaene, Jasper De; Ceulemans, David; Derammelaere, Stijn; Meulenaere, Paul De

doi:10.1016/j.micpro.2021.104151

Cited by 4 publications

(2 citation statements)

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“…Additionally, in previous work [8], we have shown how more detailed sensitivity information can be used to prioritize certain design variables over others, leading to even more efficient DSE workflows. As such, we intend to extend our approach to support different levels of precision for the ontological relationships, starting with detailed sensitivity information and later mathematical descriptions.…”

Section: Discussion and Future Workmentioning

confidence: 93%

“…In previous work [7], [8], we have already shown how domain knowledge, captured in an ontology, is used to solve multi-domain optimization problems. We showed that by building an ontology of important design parameters and their interdependencies, it becomes possible to reason about the design space exploration workflow and to subsequently determine an efficient one.…”

Section: Related Workmentioning

confidence: 99%

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Automatic Generation of Workflows for Efficient Design Space Exploration for Cyber-Physical Systems

Vanommeslaeghe

Denil

Acker

et al. 2021

2021 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing &Amp; Communications (GreenCom) An

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As cyber-physical systems become more complex, the engineering domains involved in their design become more and more intertwined. In these situations, a traditional (sequential) design process becomes inefficient in finding good design options, likely requiring multiple (costly) iterations to arrive at a good overall design. Instead, an integrated approach is desired where design variables in multiple different engineering domains can be chosen, evaluated, and optimized to achieve a good overall solution. However, in such an integrated approach, the combined design space becomes vast. As such, an efficient design space exploration (DSE) workflow is needed to minimize the computation time required to find good solutions.In the current paper, we present an approach to automatically determine efficient design space exploration workflows for engineering problems involving multiple engineering domains, such as mechatronics. We do this by explicitly capturing and modeling the relationships between system properties across different engineering domains. We then use this information to generate a set of possible DSE workflows. We also present a method for evaluating these generated workflows based on the expected computation time required to execute them. We demonstrate this approach using a simple example case study and compare the automatically determined DSE workflow to a previously manually determined workflow.

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Section: Discussion and Future Workmentioning

confidence: 93%

Section: Related Workmentioning

confidence: 99%