Learning to Optimize Black-Box Functions with Extreme Limits on the Number of Function Evaluations-Reference-Cited by-同舟云学术

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Learning to Optimize Black-Box Functions with Extreme Limits on the Number of Function Evaluations

Published:2021 Issue: Volume: Page:7-24
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
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Author:

Ansótegui Carlos,Sellmann Meinolf,Shah Tapan,Tierney Kevin

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-92121-7_2

Reference39 articles.

1. Blackbox BBO Challenge. https://bbochallenge.com/. Accessed 12 Mar 2020

2. Springer Optimization and Its Applications;SP Adam,2019

3. Ansotegui, C., Malitsky, Y., Samulowitz, H., Sellmann, M., Tierney, K.: Model-based genetic algorithms for algorithm configuration. In: IJCAI, pp. 733–739 (2015)

4. Ansotegui, C., Pon, J.: PyDGGA. https://ulog.udl.cat/

5. Lecture Notes in Computer Science;C Ansótegui,2009

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