Using Affine Combinations of BBOB Problems for Performance Assessment-Reference-Cited by-同舟云学术

Using Affine Combinations of BBOB Problems for Performance Assessment

Published:2023-07-12 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the Genetic and Evolutionary Computation Conference
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Author:

Vermetten Diederick¹^ORCID,Ye Furong¹^ORCID,Doerr Carola²³^ORCID

Affiliation:

1. Leiden University, Leiden, Netherlands

2. Sorbonne Universite, Paris, France

3. CNRS, Paris, France

Funder

NR-22-ERCS-0003-01

CNRS INS2

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3583131.3590412

Reference24 articles.

1. Thomas Bartz-Beielstein , Carola Doerr , Jakob Bossek , Sowmya Chandrasekaran , Tome Eftimov , Andreas Fischbach , Pascal Kerschke , Manuel López-Ibáñez , Katherine M. Malan , Jason H. Moore , Boris Naujoks , Patryk Orzechowski , Vanessa Volz , Markus Wagner , and Thomas Weise . 2020. Benchmarking in Optimization: Best Practice and Open Issues. CoRR abs/2007.03488 ( 2020 ). arXiv:2007.03488 https://arxiv.org/abs/2007.03488 Thomas Bartz-Beielstein, Carola Doerr, Jakob Bossek, Sowmya Chandrasekaran, Tome Eftimov, Andreas Fischbach, Pascal Kerschke, Manuel López-Ibáñez, Katherine M. Malan, Jason H. Moore, Boris Naujoks, Patryk Orzechowski, Vanessa Volz, Markus Wagner, and Thomas Weise. 2020. Benchmarking in Optimization: Best Practice and Open Issues. CoRR abs/2007.03488 (2020). arXiv:2007.03488 https://arxiv.org/abs/2007.03488

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

3. Jacob de Nobel , Furong Ye , Diederick Vermetten , Hao Wang , Carola Doerr , and Thomas Bäck . 2021. IOHexperimenter: Benchmarking Platform for Iterative Optimization Heuristics. CoRR abs/2111.04077 ( 2021 ). arXiv:2111.04077 https://arxiv.org/abs/2111.04077 Jacob de Nobel, Furong Ye, Diederick Vermetten, Hao Wang, Carola Doerr, and Thomas Bäck. 2021. IOHexperimenter: Benchmarking Platform for Iterative Optimization Heuristics. CoRR abs/2111.04077 (2021). arXiv:2111.04077 https://arxiv.org/abs/2111.04077

4. Increasing the Diversity of Benchmark Function Sets Through Affine Recombination

5. Anytime Performance Assessment in Blackbox Optimization Benchmarking

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3. MA-BBOB: A Problem Generator for Black-Box Optimization Using Affine Combinations and Shifts;ACM Transactions on Evolutionary Learning and Optimization;2024-06-21

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