ProfessorsProfessors of Lehigh UniversityTed Ralphs

Ted Ralphs

Lehigh University

H-index: 34

North America-United States

About Ted Ralphs

Ted Ralphs, With an exceptional h-index of 34 and a recent h-index of 18 (since 2020), a distinguished researcher at Lehigh University, specializes in the field of Discrete Optimization, Multilevel Optimization, Decomposition, Complexity, Parallel Computing.

His recent articles reflect a diverse array of research interests and contributions to the field:

ISE 418: Integer Programming Syllabus

On the Relationship Between the Value Function and the Efficient Frontier of a Mixed Integer Linear Optimization Problem

Mixed integer bilevel optimization with a k-optimal follower: a hierarchy of bounds

A framework for generalized Benders’ decomposition and its application to multilevel optimization

Special Issue of INFORMS Journal on Computing—Scalable Reinforcement Learning Algorithms

MIPLIB 2017: data-driven compilation of the 6th mixed-integer programming library

Assessing the effectiveness of (parallel) branch-and-bound algorithms

On the complexity of inverse mixed integer linear optimization

Ted Ralphs Information

University	Lehigh University
Position	Professor of Industrial Engineering
Citations(all)	4255
Citations(since 2020)	1616
Cited By	3199
hIndex(all)	34
hIndex(since 2020)	18
i10Index(all)	56
i10Index(since 2020)	34
Email	Access Email
University Profile Page	Lehigh University
Google Scholar	View Google Scholar Profile

Ted Ralphs Skills & Research Interests

Discrete Optimization

Multilevel Optimization

Decomposition

Complexity

Parallel Computing

Top articles of Ted Ralphs

Title	Journal	Author(s)	Publication Date
ISE 418: Integer Programming Syllabus		Ted Ralphs	2024
On the Relationship Between the Value Function and the Efficient Frontier of a Mixed Integer Linear Optimization Problem	arXiv preprint arXiv:2303.00785	Samira Fallah Ted K Ralphs Natashia L Boland	2023/3/1
Mixed integer bilevel optimization with a k-optimal follower: a hierarchy of bounds	Mathematical Programming Computation	Xueyu Shi Oleg A Prokopyev Ted K Ralphs	2023/3
A framework for generalized Benders’ decomposition and its application to multilevel optimization	Mathematical Programming	Suresh Bolusani Ted K Ralphs	2022/11
Special Issue of INFORMS Journal on Computing—Scalable Reinforcement Learning Algorithms	INFORMS Journal on Computing	J Paul Brooks Ted Ralphs Nicola Secomandi	2022/1
MIPLIB 2017: data-driven compilation of the 6th mixed-integer programming library	Mathematical Programming Computation	Ambros Gleixner Gregor Hendel Gerald Gamrath Tobias Achterberg Michael Bastubbe ...	2021/9
Assessing the effectiveness of (parallel) branch-and-bound algorithms	arXiv preprint arXiv:2104.10025	Stephen J Maher Ted K Ralphs Yuji Shinano	2021/4/19
On the complexity of inverse mixed integer linear optimization	SIAM Journal on Optimization	Aykut Bulut Ted K Ralphs	2021
A branch-and-cut algorithm for mixed integer bilevel linear optimization problems and its implementation	Mathematical Programming Computation	Sahar Tahernejad Ted K Ralphs Scott T DeNegre	2020/12
Valid Inequalities for Mixed Integer Bilevel Linear Optimization Problems		Sahar Tahernejad Ted K Ralphs	2020/10/30
A unified framework for multistage mixed integer linear optimization	Bilevel Optimization: Advances and Next Challenges	Suresh Bolusani Stefano Coniglio Ted K Ralphs Sahar Tahernejad	2020
ISE 407: Computational Methods in Optimization Syllabus		Ted Ralphs	2020