Sampling and active learning methods for network reliability estimation using K-terminal spanning tree-Reference-Cited by-同舟云学术

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Sampling and active learning methods for network reliability estimation using K-terminal spanning tree

Published:2024-10 Issue: Volume:250 Page:110309
ISSN:0951-8320
Container-title:Reliability Engineering & System Safety
language:en
Short-container-title:Reliability Engineering & System Safety

Author:

Ding Chen^ORCID,Wei Pengfei^ORCID,Shi Yan^ORCID,Liu Jinxing,Broggi Matteo^ORCID,Beer Michael^ORCID

Funder

National Natural Science Foundation of China

Horizon 2020 Framework Programme

Publisher

Elsevier BV

Reference35 articles.

1. Adaptive network reliability analysis: Methodology and applications to power grid;Dehghani;Reliab Eng Syst Saf,2021

2. Principled network reliability approximation: A counting-based approach;Paredes;Reliab Eng Syst Saf,2019

3. Exact methods to compute network reliability;Lucet,1999

4. An efficient multi-variable inversion algorithm for reliability evaluation of complex systems using path sets;Chaturvedi;Int J Reliab Qual Saf Eng,2002

5. SDP algorithm for network reliability evaluation;Caşcaval,2017

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