Hisao Ishibuchi
Japanese electrical engineer
Facts
8 properties- Instance of
- human
- Occupation
- researcher
- Employer
- Southern University of Science and Technology (2017–present), Osaka Prefecture University (1987–present)[2][3]
- Educated at
- Kyoto University (1985–1987), Kyoto University (1981–1985)[4][5]
- Award received
- IEEE Fellow[6]
- Imported from
- wholeness_audit_2026-05-02
🏷️ Also known as
en Hisao Ishibuchi
ja 石渕久生
🔖 Identifiers · 14
- ORCID iD
- 0000-0001-9186-6472
- OpenAlex ID
- A5035595838, A5124131139, A5127983363, A5134068669, A5137064609, A5139344053as 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
- CiNii Research ID
- 1030003658614875904
- DBLP author ID
- i/HisaoIshibuchi
- Dimensions author ID
- 011302353205.78
- E-Rad researcher number
- 60193356
- Google Knowledge Graph ID
- /g/11g7191dpq
- Google Scholar author ID
- vx9EZN4AAAAJ
- IEEE Xplore author ID
- 37276592200
- J-GLOBAL ID
- 200901003389347482
- ResearcherID
- B-3599-2009
- Researchmap ID
- read0020978
Show all 14 identifiers +2
- Scopus author ID
- 7005630377
- Springer Nature person ID
- 011302353205.78
📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Author of 62
A classification-assisted environmental selection strategy for multiobjective optimization,
Adapting Reference Vectors and Scalarizing Functions by Growing Neural Gas to Handle Irregular Pareto Fronts,
Adaptive Resonance Theory-Based Topological Clustering With a Divisive Hierarchical Structure Capable of Continual Learning,
A Diversity-Enhanced Subset Selection Framework for Multimodal Multiobjective Optimization,
A Framework for Large-Scale Multiobjective Optimization Based on Problem Transformation,
Algorithm Configurations of MOEA/D with an Unbounded External Archive,
Analysis of evolutionary multi-tasking as an island model,
An analysis of control parameters of MOEA/D under two different optimization scenarios
+54 more
← Authored by 62
A classification-assisted environmental selection strategy for multiobjective optimization,
Adapting Reference Vectors and Scalarizing Functions by Growing Neural Gas to Handle Irregular Pareto Fronts,
Adaptive Resonance Theory-Based Topological Clustering With a Divisive Hierarchical Structure Capable of Continual Learning,
A Diversity-Enhanced Subset Selection Framework for Multimodal Multiobjective Optimization,
A Framework for Large-Scale Multiobjective Optimization Based on Problem Transformation,
Algorithm Configurations of MOEA/D with an Unbounded External Archive,
Analysis of evolutionary multi-tasking as an island model,
An analysis of control parameters of MOEA/D under two different optimization scenarios
+54 more
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Summary
Hisao Ishibuchi worked as a researcher[1].
Body
Education
Educated at Kyoto University[4], a national university[9], in Japan[10], founded in 1897[11], headquartered in Kyoto[12].
Career and Affiliations
Employers include Southern University of Science and Technology[2], a university[13], in People's Republic of China[14], founded in 2009[15] and Osaka Prefecture University[3], a university[16], in Japan[17], founded in 1955[18].
FAQs
What did Hisao Ishibuchi do for work?
Hisao Ishibuchi worked as researcher[1].
Where did Hisao Ishibuchi go to school?
Hisao Ishibuchi was educated at Kyoto University[4] and Kyoto University[5].
What awards did Hisao Ishibuchi receive?
Honors received include IEEE Fellow[6].