Aaron S. Pope
Orcid: 0000-0001-6531-3954
According to our database1,
Aaron S. Pope
authored at least 15 papers
between 2016 and 2021.
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Bibliography
2021
Directing evolution: the automated design of evolutionary pathways using directed graphs.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021
2020
Dynamic primitive granularity control: an exploration of unique design considerations.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020
Automated design of multi-level network partitioning heuristics employing self-adaptive primitive granularity control.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020
The automated design of local optimizers for memetic algorithms employing supportive coevolution.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020
2019
IEEE Trans. Dependable Secur. Comput., 2019
Automated design of tailored link prediction heuristics for applications in enterprise network security.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019
Automated design of random dynamic graph models for enterprise computer network applications.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019
Empirical evidence of the effectiveness of primitive granularity control for hyper-heuristics.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019
2018
Proceedings of the 11th USENIX Workshop on Cyber Security Experimentation and Test, 2018
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018
2016
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016
Evolving random graph generators: A case for increased algorithmic primitive granularity.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016