Graph Learning based Generative Design for Resilience of Interdependent
Network Systems
- URL: http://arxiv.org/abs/2207.00931v1
- Date: Sun, 3 Jul 2022 01:35:08 GMT
- Title: Graph Learning based Generative Design for Resilience of Interdependent
Network Systems
- Authors: Jiaxin Wu and Pingfeng Wang
- Abstract summary: This study presents a generative design method that utilizes graph learning algorithms.
The generator can intelligently mine good properties from existing systems and output new designs that meet predefined performance criteria.
Case studies results based on power systems from the IEEE dataset have illustrated the applicability of the proposed method.
- Score: 3.6930948691311007
- License: http://creativecommons.org/licenses/by-nc-sa/4.0/
- Abstract: Interconnected complex systems usually undergo disruptions due to internal
uncertainties and external negative impacts such as those caused by harsh
operating environments or regional natural disaster events. To maintain the
operation of interconnected network systems under both internal and external
challenges, design for resilience research has been conducted from both
enhancing the reliability of the system through better designs and improving
the failure recovery capabilities. As for enhancing the designs, challenges
have arisen for designing a robust system due to the increasing scale of modern
systems and the complicated underlying physical constraints. To tackle these
challenges and design a resilient system efficiently, this study presents a
generative design method that utilizes graph learning algorithms. The
generative design framework contains a performance estimator and a candidate
design generator. The generator can intelligently mine good properties from
existing systems and output new designs that meet predefined performance
criteria. While the estimator can efficiently predict the performance of the
generated design for a fast iterative learning process. Case studies results
based on power systems from the IEEE dataset have illustrated the applicability
of the proposed method for designing resilient interconnected systems.
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