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Business and Management

D-Index
45
Citations
15518
World Ranking
1255
National Ranking
197

Engineering and Technology

D-Index
53
Citations
16839
World Ranking
3310
National Ranking
216

Overview

Matthias Ehrgott is affiliated with Lancaster University in the United Kingdom. Their research primarily spans the field of Engineering, with a focus on several subfields including Management Science and Operations Research, Industrial and Manufacturing Engineering, Transportation, Control and Systems Engineering, and Computational Theory and Mathematics.

The main topics covered in Ehrgott's work include:

  • Advanced Multi-Objective Optimization Algorithms
  • Transportation Planning and Optimization
  • Facility Location and Emergency Management
  • Process Optimization and Integration
  • Metaheuristic Optimization Algorithms Research
  • Advanced Optimization Algorithms Research
  • Efficiency Analysis Using Data Envelopment Analysis (DEA)

Frequent co-authors of Ehrgott are:

  • Salvatore Greco
  • Judith Y.T. Wang
  • Andrea Raith
  • Margaret M. Wiecek
  • Fotios Petropoulos

The scientist has contributed to several publication venues with repeated appearances in:

  • Journal of Multi-Criteria Decision Analysis
  • European Journal of Operational Research
  • Annals of Operations Research
  • Journal of the Operational Research Society
  • Computers & Operations Research

Selected recent papers authored or co-authored by Matthias Ehrgott include:

  • Operational Research: methods and applications, 2023, Journal of the Operational Research Society
  • Bi-objective optimisation over a set of convex sub-problems, 2021, Annals of Operations Research
  • An infeasible interior-point technique to generate the nondominated set for multiobjective optimization problems, 2023, Computers & Operations Research
  • Integrating Data Envelopment Analysis into radiotherapy treatment planning for head and neck cancer patients, 2021, European Journal of Operational Research
  • On Generalized Dominance Structures for Multi-Objective Optimization, 2023, Mathematical and Computational Applications

Ehrgott has also contributed to academic literature through book publications. Notably, they have a publication titled Evolutionary Multi-Criterion Optimization released in 2023 by Springer Science+Business Media.

Best Publications

  • Multiple criteria decision analysis: state of the art surveys

    Salvatore Greco;Matthias Ehrgott;José Rui Figueira

  • Multiple Criteria Decision Analysis

    Salvatore Greco;Matthias Ehrgott;José Rui Figueira

  • Multicriteria Optimization

    Matthias Ehrgott

  • A survey and annotated bibliography of multiobjective combinatorial optimization

    Matthias Ehrgott;Xavier Gandibleux

  • Multiple Criteria Optimization: State of the Art Annotated Bibliographic Surveys

    Matthias Ehrgott;Xavier Gandibleux

  • Railway track allocation: models and methods

    Richard M. Lusby;Jesper Larsen;Matthias Ehrgott;David Ryan

  • An MCDM approach to portfolio optimization

    Matthias Ehrgott;Kathrin Klamroth;Christian Schwehm

  • Social Sustainability in Selecting Emerging Economy Suppliers

    Matthias Ehrgott;Felix Reimann;Lutz Kaufmann;Craig R. Carter

  • Multiobjective Optimization

    Unknown

  • Minmax Robustness for Multi-objective Optimization Problems

    Matthias Ehrgott;Matthias Ehrgott;Jonas Ide;Anita Schöbel

  • Multicriteria Optimization

    Unknown

  • Constructing robust crew schedules with bicriteria optimization

    Matthias Ehrgott;David M. Ryan

  • A comparison of solution strategies for biobjective shortest path problems

    Andrea Raith;Matthias Ehrgott

  • Local stakeholders and local legitimacy: MNEs' social strategies in emerging economies

    Felix Reimann;Matthias Ehrgott;Lutz Kaufmann;Craig R. Carter

  • Trends in multiple criteria decision analysis

    Matthias Ehrgott;José Rui Figueira;Salvatore Greco

  • Approximative solution methods for multiobjective combinatorial optimization

    Matthias Ehrgott;Xavier Gandibleux

  • Multiobjective Combinatorial Optimization — Theory, Methodology, and Applications

    Matthias Ehrgott;Xavier Gandibleux

  • A discussion of scalarization techniques for multiple objective integer programming

    Matthias Ehrgott

  • Evolutionary Multi-Criterion Optimization

    Unknown

  • Mathematical optimization in intensity modulated radiation therapy

    Matthias Ehrgott;Çiğdem Güler;Horst W. Hamacher;Lizhen Shao

  • An iterative approach to robust and integrated aircraft routing and crew scheduling

    Oliver Weide;David Ryan;Matthias Ehrgott

  • Computation of ideal and Nadir values and implications for their use in MCDM methods

    Matthias Ehrgott;Dagmar Tenfelde-Podehl

  • Approximation algorithms for combinatorial multicriteria optimization problems

    Matthias Ehrgott

  • Hybrid Metaheuristics

    Unknown

  • Evolutionary Multi-Criterion Optimization

    Matthias Ehrgott;Carlos M. Fonseca;Xavier Gandibleux;Jin-Kao Hao

Frequent Co-Authors

Horst W. Hamacher
Horst W. Hamacher Technical University of Kaiserslautern
José Rui Figueira
José Rui Figueira Instituto Superior Técnico
Kathrin Klamroth
Kathrin Klamroth University of Wuppertal
Theodor J. Stewart
Theodor J. Stewart University of Cape Town
Stefan Nickel
Stefan Nickel Karlsruhe Institute of Technology
Salvatore Greco
Salvatore Greco University of Portsmouth
Simon Bickerton
Simon Bickerton University of Auckland
Anita Schöbel
Anita Schöbel Technical University of Kaiserslautern
Kaisa Miettinen
Kaisa Miettinen University of Jyväskylä
Martyn P. Nash
Martyn P. Nash University of Auckland

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