Tuning as a means of assessing the benefits of new ideas in interplay with existing algorithmic modules-Reference-Cited by-同舟云学术

Tuning as a means of assessing the benefits of new ideas in interplay with existing algorithmic modules

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

de Nobel Jacob¹,Vermetten Diederick¹,Wang Hao¹,Doerr Carola²,Bäck Thomas¹

Affiliation:

1. Leiden Institute for Advanced Computer Science, Leiden, The Netherlands

2. Sorbonne Université, Paris, France

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3449726.3463167

Reference41 articles.

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3. Anne Auger Dimo Brockhoff Nikolaus Hansen Tea Tušar and Konstantinos Varelas. 2020. Data from BBOB-workshops and competitions on 24 noiseless functions. https://coco.gforge.inria.fr/doku.php?id=algorithms-bbob. Anne Auger Dimo Brockhoff Nikolaus Hansen Tea Tušar and Konstantinos Varelas. 2020. Data from BBOB-workshops and competitions on 24 noiseless functions. https://coco.gforge.inria.fr/doku.php?id=algorithms-bbob.

4. A Restart CMA Evolution Strategy With Increasing Population Size

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