Defending active directory by combining neural network based dynamic program and evolutionary diversity optimisation-Reference-Cited by-同舟云学术

Defending active directory by combining neural network based dynamic program and evolutionary diversity optimisation

Published:2022-07-08 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the Genetic and Evolutionary Computation Conference
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Author:

Goel Diksha¹,Ward-Graham Max Hector²,Neumann Aneta¹,Neumann Frank¹,Nguyen Hung¹,Guo Mingyu¹

Affiliation:

1. University of Adelaide, Australia

2. Harvard University and University of Adelaide, Australia

Funder

South Australian Government through the Research Consortium ?Unlocking Complex Resources through Lean Processing?

Australian Research Council

Partially supported by the ?Cyber NGT ? Provable Network Security? grant

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3512290.3528729

Reference18 articles.

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2. Quality and Diversity Optimization: A Unifying Modular Framework

3. John Dias . 2002. A guide to microsoft active directory (ad) design . Technical Report. Lawrence Livermore National Lab.(LLNL), Livermore, CA (United States) . John Dias. 2002. A guide to microsoft active directory (ad) design. Technical Report. Lawrence Livermore National Lab.(LLNL), Livermore, CA (United States).

4. Evolving diverse sets of tours for the travelling salesperson problem

5. Analysis of evolutionary diversity optimisation for permutation problems

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