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SMGO-<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si75.svg"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi></mml:mrow></mml:math>: Balancing caution and reward in global optimization with black-box constraints

Research article (Information Sciences, 2022) · cited 32× · AI/ML
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SMGO-Δ: Balancing caution and reward in global optimization with black-box constraints

Summary

SMGO-Δ: Balancing caution and reward in global optimization with black-box constraints is a scholarly article[1].

Key Facts

  • SMGO-Δ: Balancing caution and reward in global optimization with black-box constraints's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). SMGO-<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si75.svg"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi></mml:mrow></mml:math>: Balancing caution and reward in global optimization with black-box constraints. Retrieved May 24, 2026, from https://4ort.xyz/entity/smgo-mml-math-xmlns-mml-http-www-w3-org-1998-math-mathml-altimg-si75-svg-mml-mrow-mml-mi-mathvariant-normal-mml-mi-mml-m
MLA “SMGO-<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si75.svg"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi></mml:mrow></mml:math>: Balancing caution and reward in global optimization with black-box constraints.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/smgo-mml-math-xmlns-mml-http-www-w3-org-1998-math-mathml-altimg-si75-svg-mml-mrow-mml-mi-mathvariant-normal-mml-mi-mml-m.
BibTeX @misc{4ortxyz_smgo-mml-math-xmlns-mml-http-www-w3-org-1998-math-mathml-altimg-si75-svg-mml-mrow-mml-mi-mathvariant-normal-mml-mi-mml-m_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{SMGO-<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si75.svg"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi></mml:mrow></mml:math>: Balancing caution and reward in global optimization with black-box constraints}}, year = {2026}, url = {https://4ort.xyz/entity/smgo-mml-math-xmlns-mml-http-www-w3-org-1998-math-mathml-altimg-si75-svg-mml-mrow-mml-mi-mathvariant-normal-mml-mi-mml-m}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): SMGO-<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si75.svg"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi></mml:mrow></mml:math>: Balancing caution and reward in global optimization with black-box constraints — https://4ort.xyz/entity/smgo-mml-math-xmlns-mml-http-www-w3-org-1998-math-mathml-altimg-si75-svg-mml-mrow-mml-mi-mathvariant-normal-mml-mi-mml-m (retrieved 2026-05-24)

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