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Black-Box Optimization Revisited: Improving Algorithm Selection Wizards\n through Massive Benchmarking

Research article (arXiv (Cornell University), 2020) · cited 40× · AI/ML
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Black-Box Optimization Revisited: Improving Algorithm Selection Wizards\n through Massive Benchmarking

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Black-Box Optimization Revisited: Improving Algorithm Selection Wizards\n through Massive Benchmarking is a scholarly article[1].

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Related Entities

Carola Doerr Olivier Teytaud

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Black-Box Optimization Revisited: Improving Algorithm Selection Wizards\n through Massive Benchmarking. Retrieved May 24, 2026, from https://4ort.xyz/entity/black-box-optimization-revisited-improving-algorithm-selection-wizards-n-through-massive-benchmarking
MLA “Black-Box Optimization Revisited: Improving Algorithm Selection Wizards\n through Massive Benchmarking.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/black-box-optimization-revisited-improving-algorithm-selection-wizards-n-through-massive-benchmarking.
BibTeX @misc{4ortxyz_black-box-optimization-revisited-improving-algorithm-selection-wizards-n-through-massive-benchmarking_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Black-Box Optimization Revisited: Improving Algorithm Selection Wizards\n through Massive Benchmarking}}, year = {2026}, url = {https://4ort.xyz/entity/black-box-optimization-revisited-improving-algorithm-selection-wizards-n-through-massive-benchmarking}, note = {Accessed: 2026-05-24}}
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