World's Best Scientists 2026 revealed!
Daniel Vanderpooten

Daniel Vanderpooten

D-Index & Metrics

Computer Science

D-Index
31
Citations
5175
World Ranking
13511
National Ranking
353

Mathematics

D-Index
30
Citations
4849
World Ranking
3462
National Ranking
209

Overview

Daniel Vanderpooten is affiliated with Paris Dauphine University in France. Their research falls within the broad domain of Computer Science, with a primary focus on Computational Theory and Mathematics. Several subfields are also part of their work, including Numerical Analysis, Computer Networks and Communications, Electrical and Electronic Engineering, and Artificial Intelligence.

The scientist's investigations emphasize advanced aspects of optimization, addressing multiple topics such as:

  • Advanced Multi-Objective Optimization Algorithms
  • Advanced Optimization Algorithms Research
  • Formal Methods in Verification
  • Complexity and Algorithms in Graphs
  • Optimization and Variational Analysis
  • Metaheuristic Optimization Algorithms Research
  • Scheduling and Timetabling Solutions

Several papers document their recent contributions, including:

  • "Enumeration of the Nondominated Set of Multiobjective Discrete Optimization Problems," 2020, INFORMS Journal on Computing
  • "Exact and approximate determination of the Pareto front using Minimal Correction Subsets," 2023, Computers & Operations Research
  • "An approximation algorithm for a general class of parametric optimization problems," 2020, Journal of Combinatorial Optimization
  • "The Power of the Weighted Sum Scalarization for Approximating Multiobjective Optimization Problems," 2021, Theory of Computing Systems
  • "Computing efficiently the nondominated subset of a set sum," 2022, International Transactions in Operational Research

Collaborations form an integral part of their research output. Frequent co-authors include:

  • Cristina Bazgan
  • Clemens Thielen
  • Stefan Ruzika
  • Arne Herzel
  • Satya Tamby

Daniel Vanderpooten has published in various academic venues, with a notable presence in:

  • Computers & Operations Research
  • arXiv (Cornell University)
  • INFORMS Journal on Computing
  • International Transactions in Operational Research
  • Journal of Combinatorial Optimization

The profile of Daniel Vanderpooten illustrates a focus on both theoretical and applied dimensions of computer science, particularly in optimization and multi-objective algorithmic research. Their work demonstrates interdisciplinary reach, extending into aspects of electrical engineering and artificial intelligence as related to optimization problems.

Best Publications

  • A generalized definition of rough approximations based on similarity

    R. Slowinski;D. Vanderpooten

  • Min–max and min–max regret versions of combinatorial optimization problems: A survey

    Hassene Aissi;Cristina Bazgan;Daniel Vanderpooten

  • The European school of MCDA: Emergence, basic features and current works

    Bernard Roy;Daniel Vanderpooten

  • Solving efficiently the 0-1 multi-objective knapsack problem

    Cristina Bazgan;Hadrien Hugot;Daniel Vanderpooten

  • Enumeration and interactive selection of efficient paths in a multiple criteria graph for scheduling an earth observing satellite

    Virginie Gabrel;Daniel Vanderpooten

  • An outranking approach for rank aggregation in information retrieval

    Mohamed Farah;Daniel Vanderpooten

  • Induction of decision rules in classification and discovery-oriented perspectives

    Jerzy Stefanowski;Daniel Vanderpooten

  • Description and analysis of some representative interactive multicriteria procedures

    Daniel Vanderpooten;Philippe Vincke

  • Complexity of the min-max and min-max regret assignment problems

    Hassene Aissi;Cristina Bazgan;Daniel Vanderpooten

  • On the representation of the search region in multi-objective optimization

    Kathrin Klamroth;Renaud Lacour;Daniel Vanderpooten

  • Ranking projects for an electricity utility using ELECTRE III

    John Buchanan;Daniel Vanderpooten

  • The interactive approach in MCDA: A technical framework and some basic conceptions

    Daniel Vanderpooten

  • Weighted sum model with partial preference information: Application to multi-objective optimization

    Sami Kaddani;Sami Kaddani;Daniel Vanderpooten;Jean Michel Vanpeperstraete;Hassene Aissi

  • Aiding decisions with multiple criteria: essays in honor of Bernard Roy

    Denis Bouyssou;Eric Jacquet-Lagrèze;Patrice Perny;Roman Słowiński

  • The Construction of Prescriptions in Outranking Methods

    Daniel Vanderpooten

  • An overview on “The European school of MCDA: Emergence, basic features and current works”

    Bernard Roy;Daniel Vanderpooten

  • Approximation of min–max and min–max regret versions of some combinatorial optimization problems

    Hassene Aissi;Cristina Bazgan;Daniel Vanderpooten

  • Construction of rule-based assignment models

    Riad Azibi;Daniel Vanderpooten

  • The satisfactory partition problem

    Cristina Bazgan;Zsolt Tuza;Daniel Vanderpooten

  • Integrated micro-economic modelling and multi-criteria methodology to support public decision-making: the case of liquid bio-fuels in France

    Stelios Rozakis;Jean-Claude Sourie;Daniel Vanderpooten

  • A multi-criteria model for electronic auctions

    Marie-Jo Bellosta;Imène Brigui;Sylvie Kornman;Daniel Vanderpooten

  • Discrete Optimization Enumeration and interactive selection of efficient paths in a multiple criteria graph for scheduling an earth observing satellite

    Virginie Gabrel;Daniel Vanderpooten

Frequent Co-Authors

Zsolt Tuza
Zsolt Tuza University of Pannonia
Roman Słowiński
Roman Słowiński Poznań University of Technology
Bernard Roy
Bernard Roy Paris Dauphine University
Jerzy Stefanowski
Jerzy Stefanowski Poznań University of Technology
Kathrin Klamroth
Kathrin Klamroth University of Wuppertal
José Rui Figueira
José Rui Figueira Instituto Superior Técnico

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