Kathrin Klamroth

Kathrin Klamroth

Bergische Universität Wuppertal

H-index: 34

Europe-Germany

About Kathrin Klamroth

Kathrin Klamroth, With an exceptional h-index of 34 and a recent h-index of 20 (since 2020), a distinguished researcher at Bergische Universität Wuppertal, specializes in the field of Multiobjective Optimization, Discrete and Continuous Optimization, Location Theory.

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

A simple, efficient and versatile objective space algorithm for multiobjective integer programming

Solving the Multiobjective Quasi-Clique Problem

Ensuring connectedness for the Maximum Quasi-clique and Densest -subgraph problems

Non-convex shape optimization by dissipative Hamiltonian flows

Consensus-based optimization for multi-objective problems: a multi-swarm approach

Biobjective optimization problems on matroids with binary costs

Constructing Optimal Star Discrepancy Sets

Ordinal optimization through multi-objective reformulation

Kathrin Klamroth Information

University

Position

Mathematics and Natural Sciences Germany

Citations(all)

4530

Citations(since 2020)

1760

Cited By

3371

hIndex(all)

34

hIndex(since 2020)

20

i10Index(all)

67

i10Index(since 2020)

43

Email

University Profile Page

Bergische Universität Wuppertal

Google Scholar

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Kathrin Klamroth Skills & Research Interests

Multiobjective Optimization

Discrete and Continuous Optimization

Location Theory

Top articles of Kathrin Klamroth

Title

Journal

Author(s)

Publication Date

A simple, efficient and versatile objective space algorithm for multiobjective integer programming

Mathematical Methods of Operations Research

Kerstin Dächert

Tino Fleuren

Kathrin Klamroth

2024/3/21

Solving the Multiobjective Quasi-Clique Problem

arXiv preprint arXiv:2403.10896

Daniela Scherer dos Santos

Kathrin Klamroth

Pedro Martins

Luís Paquete

2024/3/16

Ensuring connectedness for the Maximum Quasi-clique and Densest -subgraph problems

arXiv preprint arXiv:2403.08534

Daniela Scherer dos Santos

Kathrin Klamroth

Pedro Martins

Luís Paquete

2024/3/13

Non-convex shape optimization by dissipative Hamiltonian flows

Engineering Optimization

Matthias Bolten

Onur Tanil Doganay

Hanno Gottschalk

Kathrin Klamroth

2024/2/17

Consensus-based optimization for multi-objective problems: a multi-swarm approach

Journal of Global Optimization

Kathrin Klamroth

Michael Stiglmayr

Claudia Totzeck

2024/2/15

Biobjective optimization problems on matroids with binary costs

Optimization

Jochen Gorski

Kathrin Klamroth

Julia Sudhoff

2023

Constructing Optimal Star Discrepancy Sets

arXiv preprint arXiv:2311.17463

François Clément

Carola Doerr

Kathrin Klamroth

Luís Paquete

2023/11/29

Ordinal optimization through multi-objective reformulation

European Journal of Operational Research

Kathrin Klamroth

Michael Stiglmayr

Julia Sudhoff

2023/5/3

Modeling Minimum Cost Network Flows With Port‐Hamiltonian Systems

PAMM

Onur Tanil Doganay

Kathrin Klamroth

Bruno Lang

Michael Stiglmayr

Claudia Totzeck

2023/5

Optimal Sets for the L∞ Star Discrepancy

Book of abstracts PGMO DAYS 2023

François Clément1 Carola Doerr

Kathrin Klamroth

Luís Paquete

2023/11/15

PINN training using biobjective optimization: The trade-off between data loss and residual loss

Journal of Computational Physics

Fabian Heldmann

Sarah Berkhahn

Matthias Ehrhardt

Kathrin Klamroth

2023/9/1

Optimal control for port-Hamiltonian systems and a new perspective on dynamic network flow problems

arXiv preprint arXiv:2303.15082

Onur Tanil Doganay

Kathrin Klamroth

Bruno Lang

Michael Stiglmayr

Claudia Totzeck

2023/3/27

A Tight Formulation for the Dial-a-Ride Problem

arXiv preprint arXiv:2308.11285

Daniela Gaul

Kathrin Klamroth

Christian Pfeiffer

Arne Schulz

Michael Stiglmayr

2023/8/22

Ridepooling and public bus services: A comparative case-study

arXiv preprint arXiv:2302.01709

Hayk Asatryan

Daniela Gaul

Hanno Gottschalk

Kathrin Klamroth

Michael Stiglmayr

2023/2/3

Theoretical Aspects of Subset Selection in Multi-Objective Optimisation

Andreia P Guerreiro

Kathrin Klamroth

Carlos M Fonseca

2023/7/29

Multi-objective matroid optimization with ordinal weights

Discrete Applied Mathematics

Kathrin Klamroth

Michael Stiglmayr

Julia Sudhoff

2023

Event-based MILP models for ridepooling applications

European Journal of Operational Research

Daniela Gaul

Kathrin Klamroth

Michael Stiglmayr

2022

Exact algorithms for multiobjective linear optimization problems with integer variables: A state of the art survey

Pascal Halffmann

Luca E Schäfer

Kerstin Dächert

Kathrin Klamroth

Stefan Ruzika

2022/9

Efficient and sparse neural networks by pruning weights in a multiobjective learning approach

Computers & Operations Research

Malena Reiners

Kathrin Klamroth

Fabian Heldmann

Michael Stiglmayr

2022/5/1

Efficient dominance filtering for unions and minkowski sums of non-dominated sets

Computers & Operations Research

Kathrin Klamroth

Bruno Lang

Michael Stiglmayr

2024

See List of Professors in Kathrin Klamroth University(Bergische Universität Wuppertal)

Co-Authors

H-index: 69
Zvi Drezner

Zvi Drezner

California State University, Fullerton

H-index: 59
Stefan Nickel

Stefan Nickel

Karlsruher Institut für Technologie

H-index: 44
Carlos M. Fonseca

Carlos M. Fonseca

Universidade de Coimbra

H-index: 41
Rakesh Nagi

Rakesh Nagi

University of Illinois at Urbana-Champaign

H-index: 34
Margaret M Wiecek

Margaret M Wiecek

Clemson University

H-index: 33
Sanaz Mostaghim

Sanaz Mostaghim

Otto-von-Guericke-Universität Magdeburg

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