Bernhard Sendhoff
researcher
Facts
7 properties- Instance of
- human
- Occupation
- researcher
- Educated at
- Ruhr University Bochum (?–1998), Ruhr University Bochum (1987–1993)[2][3]
- Imported from
- wholeness_audit_2026-05-02
- Maintained by WikiProject
- WikiProject Mathematics[6]
🏷️ Also known as
en Bernhard Sendhoff
🔖 Identifiers · 11
- ORCID iD
- 0000-0002-1233-9584
- VIAF cluster ID
- 77152917
- Library of Congress authority ID
- nb2009009763
- OpenAlex ID
- A5066418464as of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
- DBLP author ID
- s/BernhardSendhoff
- Google Scholar author ID
- ZIXnJeEAAAAJ
- National Library of Israel J9U ID
- 987007367071205171
- Scopus author ID
- 35619676800
- WorldCat Entities ID
- E39PBJf8tTy4B38368jyCq9Rrq
- Yale LUX ID
- person/39aea2d6-a8f3-4f97-9f70-955de308da11
- ZbMATH author ID
- sendhoff.bernhard
📚 Sources · 1
📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Author of 20
A hybrid local search framework for the dynamic capacitated arc routing problem,
A Novel Generalized Metaheuristic Framework for Dynamic Capacitated Arc Routing Problems,
A Reference Vector Guided Evolutionary Algorithm for Many-Objective Optimization,
Cooperative Intelligence - A Humane Perspective,
Exploiting Generative Models for Performance Predictions of 3D Car Designs,
Exploiting Local Geometric Features in Vehicle Design Optimization with 3D Point Cloud Autoencoders,
Exploring Clinical Time Series Forecasting with Meta-Features in Variational Recurrent Models,
Exploring Dimensionality Reduction Techniques for Efficient Surrogate-Assisted optimization
+12 more
← Authored by 20
A hybrid local search framework for the dynamic capacitated arc routing problem,
A Novel Generalized Metaheuristic Framework for Dynamic Capacitated Arc Routing Problems,
A Reference Vector Guided Evolutionary Algorithm for Many-Objective Optimization,
Cooperative Intelligence - A Humane Perspective,
Exploiting Generative Models for Performance Predictions of 3D Car Designs,
Exploiting Local Geometric Features in Vehicle Design Optimization with 3D Point Cloud Autoencoders,
Exploring Clinical Time Series Forecasting with Meta-Features in Variational Recurrent Models,
Exploring Dimensionality Reduction Techniques for Efficient Surrogate-Assisted optimization
+12 more
Affiliated with 3
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Summary
Bernhard Sendhoff worked as a researcher[1].
Body
Education
Educated at Ruhr University Bochum[2], a public university[7], in Germany[8], founded in 1962[9], headquartered in Bochum[10].
FAQs
What did Bernhard Sendhoff do for work?
Bernhard Sendhoff worked as researcher[1].
Where did Bernhard Sendhoff go to school?
Bernhard Sendhoff was educated at Ruhr University Bochum[2] and Ruhr University Bochum[3].