Landscape-aware fixed-budget performance regression and algorithm selection for modular CMA-ES variants-Reference-Cited by-同舟云学术

Landscape-aware fixed-budget performance regression and algorithm selection for modular CMA-ES variants

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

Jankovic Anja¹,Doerr Carola¹

Affiliation:

1. Sorbonne Université, Paris, France

Funder

Paris Ile de France Region

Agence Nationale de la Recherche

European Cooperation in Science and Technology

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3377930.3390183

Reference29 articles.

1. Nacim Belkhir Johann Dréo Pierre Savéant and Marc Schoenauer. 2017. Per instance algorithm configuration of CMA-ES with limited budget. In GECCO. ACM 681--688. 10.1145/3071178.3071343 Nacim Belkhir Johann Dréo Pierre Savéant and Marc Schoenauer. 2017. Per instance algorithm configuration of CMA-ES with limited budget. In GECCO. ACM 681--688. 10.1145/3071178.3071343

2. ASlib: A benchmark library for algorithm selection

3. S. Finck N. Hansen R. Ros and A. Auger. 2010. Real-Parameter Black-Box Optimization Benchmarking 2010: Presentation of the Noiseless Functions. http://coco.gforge.inria.fr/downloads/download16.00/bbobdocfunctions.pdf. S. Finck N. Hansen R. Ros and A. Auger. 2010. Real-Parameter Black-Box Optimization Benchmarking 2010: Presentation of the Noiseless Functions. http://coco.gforge.inria.fr/downloads/download16.00/bbobdocfunctions.pdf.

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