Automated design of multi-level network partitioning heuristics employing self-adaptive primitive granularity control-Reference-Cited by-同舟云学术

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Automated design of multi-level network partitioning heuristics employing self-adaptive primitive granularity control

Published:2020-06-25 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2020 Genetic and Evolutionary Computation Conference
language:
Short-container-title:

Author:

Pope Aaron Scott¹,Tauritz Daniel R.²

Affiliation:

1. Los Alamos National Laboratory, Los Alamos, New Mexico

2. Auburn University

Funder

Los Alamos National Laboratory

Laboratory Directed Research and Development

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3377930.3389819

Reference20 articles.

1. A Multilevel Memetic Approach for Improving Graph k-Partitions

2. Hyper-heuristics: a survey of the state of the art

3. PT-Scotch: A tool for efficient parallel graph ordering

4. Heat-ray

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Generative Hyper-heuristics;Proceedings of the Companion Conference on Genetic and Evolutionary Computation;2023-07-15

2. Generative hyper-heuristics;Proceedings of the Genetic and Evolutionary Computation Conference Companion;2022-07-09

3. Hyper-heuristics tutorial;Proceedings of the Genetic and Evolutionary Computation Conference Companion;2021-07-07

4. Dynamic primitive granularity control;Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion;2020-07-08

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