Puay Siew Tan
Researcher / author (OpenAlex)
Facts
2 properties- Affiliation
- Agency for Science, Technology and Research, Singapore Institute of Manufacturing Technologyas 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
🔖 Identifiers · 2
- ORCID iD
- 0009-0006-3869-5997as 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
- OpenAlex ID
- A5112864831as 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
📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Author of 11
A generic framework for multi-criteria decision support in eco-friendly urban logistics systems,
Cognizant Multitasking in Multiobjective Multifactorial Evolution: MO-MFEA-II,
Comparison of base classifiers for multi-label learning,
Complex and Intelligent Systems in Manufacturing,
Evolutionary multitasking in permutation-based combinatorial optimization problems: Realization with TSP, QAP, LOP, and JSP,
Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement Learning,
Learning to Solve Multiple-TSP With Time Window and Rejections via Deep Reinforcement Learning,
Multifactorial Evolutionary Algorithm With Online Transfer Parameter Estimation: MFEA-II
+3 more
← Authored by 11
A generic framework for multi-criteria decision support in eco-friendly urban logistics systems,
Cognizant Multitasking in Multiobjective Multifactorial Evolution: MO-MFEA-II,
Comparison of base classifiers for multi-label learning,
Complex and Intelligent Systems in Manufacturing,
Evolutionary multitasking in permutation-based combinatorial optimization problems: Realization with TSP, QAP, LOP, and JSP,
Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement Learning,
Learning to Solve Multiple-TSP With Time Window and Rejections via Deep Reinforcement Learning,
Multifactorial Evolutionary Algorithm With Online Transfer Parameter Estimation: MFEA-II
+3 more
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Summary
Puay Siew Tan is a human[1].