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Fingerprint Dive into the research topics where Hong Seo Ryoo is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

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0-1 Integer Programming Mathematics
Discriminant Function Mathematics
Integer programming Engineering & Materials Science
Mixed Integer Programming Mathematics
Linear programming Engineering & Materials Science
Global optimization Engineering & Materials Science
Linearization Engineering & Materials Science
Learning systems Engineering & Materials Science

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Research Output 1995 2020

  • 479 Citations
  • 6 h-Index
  • 16 Article
  • 5 Conference contribution

Cliques for Multi-Term Linearization of 0–1 Multilinear Program for Boolean Logical Pattern Generation

Yan, K. & Ryoo, H. S., 2020 Jan 1, Optimization of Complex Systems: Theory, Models, Algorithms and Applications, 2019. Le Thi, H. A., Le, H. M. & Pham Dinh, T. (eds.). Springer Verlag, p. 376-386 11 p. (Advances in Intelligent Systems and Computing; vol. 991).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Linearization
1 Citation (Scopus)

A multi-term, polyhedral relaxation of a 0–1 multilinear function for Boolean logical pattern generation

Yan, K. & Ryoo, H. S., 2018 Jun 25, (Accepted/In press) In : Journal of Global Optimization. p. 1-31 31 p.

Research output: Contribution to journalArticle

Learning systems
Term
Experiments
Polytope
Facet
3 Citations (Scopus)

0-1 multilinear programming as a unifying theory for LAD pattern generation

Yan, K. & Ryoo, H. S., 2017 Feb 19, In : Discrete Applied Mathematics. 218, p. 21-39 19 p.

Research output: Contribution to journalArticle

Programming
Programming Model
Linearization Techniques
Linearization
Requirements
2 Citations (Scopus)

Strong valid inequalities for Boolean logical pattern generation

Yan, K. & Ryoo, H. S., 2017 Mar 20, (Accepted/In press) In : Journal of Global Optimization. p. 1-48 48 p.

Research output: Contribution to journalArticle

Valid Inequalities
Linearization
Data mining
Data reduction
Experiments
14 Citations (Scopus)

Compact MILP models for optimal and Pareto-optimal LAD patterns

Guo, C. & Ryoo, H. S., 2012 Nov 1, In : Discrete Applied Mathematics. 160, 16-17, p. 2339-2348 10 p.

Research output: Contribution to journalArticle

Mixed Integer Linear Programming
Decision theory
Decision Theory
Model
Learning systems