2026 Kathrin Klamroth: Computer Science Researcher – H-Index, Publications & Awards

Overview

Kathrin Klamroth is affiliated with the University of Wuppertal in Germany. Their research spans a broad range of topics within engineering and computer science, with significant contributions to multi-objective optimization, vehicle routing methods, and process optimization.

The main fields of study for Klamroth include:

Engineering
Computer Science

Within these fields, their work addresses several subfields such as:

Computational Theory and Mathematics
Control and Systems Engineering
Industrial and Manufacturing Engineering
Artificial Intelligence
Numerical Analysis

The primary research topics covered in their publications include:

Advanced Multi-Objective Optimization Algorithms
Vehicle Routing Optimization Methods
Transportation and Mobility Innovations
Process Optimization and Integration
Optimization and Mathematical Programming
Advanced Optimization Algorithms Research
Probabilistic and Robust Engineering Design

Klamroth has published multiple research papers in various specialized journals. Notable recent papers include:

Exact algorithms for multiobjective linear optimization problems with integer variables: A state of the art survey, 2022, Journal of Multi-Criteria Decision Analysis
Event-based MILP models for ridepooling applications, 2021, European Journal of Operational Research
PINN training using biobjective optimization: The trade-off between data loss and residual loss, 2023, Journal of Computational Physics
Efficient and sparse neural networks by pruning weights in a multiobjective learning approach, 2022, Computers & Operations Research
Branch-and-bound and objective branching with three or more objectives, 2022, Computers & Operations Research

Frequent publication venues for Klamroth's research work are:

arXiv (Cornell University)
European Journal of Operational Research
Computers & Operations Research
Journal of Global Optimization
Discrete Applied Mathematics

Collaborative efforts form an important part of Klamroth's research output. Frequent coauthors include:

Michael Stiglmayr
Luís Paquete
Onur Tanil Doganay
Daniela Gaul
Julia Sudhoff

The scope and diversity of Klamroth's work reflect a sustained engagement with computational optimization, particularly focusing on multiobjective linear optimization and applications in transportation and manufacturing engineering contexts.

Best Publications

Biconvex sets and optimization with biconvex functions: a survey and extensions

Jochen Gorski;Frank Pfeuffer;Kathrin Klamroth

767
Citations
An MCDM approach to portfolio optimization

Matthias Ehrgott;Kathrin Klamroth;Christian Schwehm

431
Citations
The Weber Problem

Zvi Drezner;Kathrin Klamroth;Anita Schöbel;George O. Wesolowsky

259
Citations
Dynamic programming approaches to the multiple criteria knapsack problem

Kathrin Klamroth;Margaret M. Wiecek

171
Citations
Connectedness of efficient solutions in multiple criteria combinatorial optimization

Matthias Ehrgott;Kathrin Klamroth

113
Citations
On the representation of the search region in multi-objective optimization

Kathrin Klamroth;Renaud Lacour;Daniel Vanderpooten

103
Citations
A linear bound on the number of scalarizations needed to solve discrete tricriteria optimization problems

Kerstin Dächert;Kathrin Klamroth

100
Citations
Unbiased approximation in multicriteria optimization

Kathrin Klamroth;Jørgen Tind;Margaret M. Wiecek

99
Citations
An efficient solution method for Weber problems with barriers based on genetic algorithms

Martin Bischoff;Kathrin Klamroth

96
Citations
Single-Facility Location Problems with Barriers

Kathrin Klamroth

92
Citations
An augmented weighted Tchebycheff method with adaptively chosen parameters for discrete bicriteria optimization problems

Kerstin Dächert;Jochen Gorski;Kathrin Klamroth

92
Citations
Pareto navigator for interactive nonlinear multiobjective optimization

Petri Eskelinen;Kaisa Miettinen;Kathrin Klamroth;Jussi Hakanen

85
Citations
Constrained optimization using multiple objective programming

Kathrin Klamroth;Tind Jørgen

84
Citations
Integrating Approximation and Interactive Decision Making in Multicriteria Optimization

Kathrin Klamroth;Kaisa Miettinen

81
Citations
Planar weber location problems with line barriers

K. Klamroth

79
Citations
A unified approach for different concepts of robustness and stochastic programming via non-linear scalarizing functionals

K. Klamroth;E. Köbis;A. Schöbel;Chr. Tammer

73
Citations
The multi-facility location-allocation problem with polyhedral barriers

Martin Bischoff;Tina Fleischmann;Kathrin Klamroth

69
Citations
A reduction result for location problems with polyhedral barriers

Kathrin Klamroth

67
Citations
Introduction and Applications

Horst W. Hamacher;Kathrin Klamroth

66
Citations
Norm-based approximation in multicriteria programming

B. Schandl;K. Klamroth;M.M. Wiecek

66
Citations