Towards large scale automated algorithm design by integrating modular benchmarking frameworks-Reference-Cited by-同舟云学术

Towards large scale automated algorithm design by integrating modular benchmarking frameworks

Published:2021-07-07 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the Genetic and Evolutionary Computation Conference Companion
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Author:

Aziz-Alaoui Amine¹,Doerr Carola²,Dreo Johann³

Affiliation:

1. Université de Toulouse, France

2. Sorbonne Université, Paris, France

3. Thales Research & Technology, Palaiseau, France

Funder

Paris Ile-de-France region

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3449726.3463155

Reference58 articles.

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2. [n.d.]. Jenetics howpublished = https://jenetics.io/ note = Last visited: 2021-02-04. [n.d.]. Jenetics howpublished = https://jenetics.io/ note = Last visited: 2021-02-04.

3. Amine Aziz-Alaoui Carola Doerr and Johann Dreo. 2021. Towards Large Scale Automated Algorithm Design by Integrating Modular Benchmarking Frameworks --- data and analysis scripts. 10.5281/zenodo.4729568 Amine Aziz-Alaoui Carola Doerr and Johann Dreo. 2021. Towards Large Scale Automated Algorithm Design by Integrating Modular Benchmarking Frameworks --- data and analysis scripts. 10.5281/zenodo.4729568

4. Gaussian Process Surrogate Models for the CMA Evolution Strategy

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